2016
|
Pasquale Foggia; Nicolai Petkov; Alessia Saggese; Nicola Strisciuglio; Mario Vento Audio Surveillance of Roads: A System for Detecting Anomalous Sounds Journal Article IEEE Transactions on Intelligent Transportation Systems, 17 (1), pp. 279-288, 2016, ISSN: 1524-9050. Abstract | BibTeX | Tag: | Links: @article{7321013,
title = {Audio Surveillance of Roads: A System for Detecting Anomalous Sounds},
author = {Pasquale Foggia and Nicolai Petkov and Alessia Saggese and Nicola Strisciuglio and Mario Vento},
doi = {10.1109/TITS.2015.2470216},
issn = {1524-9050},
year = {2016},
date = {2016-01-01},
journal = {IEEE Transactions on Intelligent Transportation Systems},
volume = {17},
number = {1},
pages = {279-288},
abstract = {In the last decades, several systems based on video analysis have been proposed for automatically detecting accidents on roads to ensure a quick intervention of emergency teams. However, in some situations, the visual information is not sufficient or sufficiently reliable, whereas the use of microphones and audio event detectors can significantly improve the overall reliability of surveillance systems. In this paper, we propose a novel method for detecting road accidents by analyzing audio streams to identify hazardous situations such as tire skidding and car crashes. Our method is based on a two-layer representation of an audio stream: at a low level, the system extracts a set of features that is able to capture the discriminant properties of the events of interest, and at a high level, a representation based on a bag-of-words approach is then exploited in order to detect both short and sustained events. The deployment architecture for using the system in real environments is discussed, together with an experimental analysis carried out on a data set made publicly available for benchmarking purposes. The obtained results confirm the effectiveness of the proposed approach.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In the last decades, several systems based on video analysis have been proposed for automatically detecting accidents on roads to ensure a quick intervention of emergency teams. However, in some situations, the visual information is not sufficient or sufficiently reliable, whereas the use of microphones and audio event detectors can significantly improve the overall reliability of surveillance systems. In this paper, we propose a novel method for detecting road accidents by analyzing audio streams to identify hazardous situations such as tire skidding and car crashes. Our method is based on a two-layer representation of an audio stream: at a low level, the system extracts a set of features that is able to capture the discriminant properties of the events of interest, and at a high level, a representation based on a bag-of-words approach is then exploited in order to detect both short and sustained events. The deployment architecture for using the system in real environments is discussed, together with an experimental analysis carried out on a data set made publicly available for benchmarking purposes. The obtained results confirm the effectiveness of the proposed approach. |
2015
|
Pasquale Foggia; Nicolai Petkov; Alessia Saggese; Nicola Strisciuglio; Mario Vento Audio surveillance of roads: a system for detecting anomalous sounds Journal Article IEEE Transactions on Intelligent Transportation Systems, 17 , 2015. BibTeX | Tag: Audio analysis and interpretation | Links: @article{FoggiaRoads2015,
title = {Audio surveillance of roads: a system for detecting anomalous sounds},
author = {Pasquale Foggia and Nicolai Petkov and Alessia Saggese and Nicola Strisciuglio and Mario Vento},
doi = {10.1109/TITS.2015.2470216},
year = {2015},
date = {2015-11-03},
journal = {IEEE Transactions on Intelligent Transportation Systems},
volume = {17},
keywords = {Audio analysis and interpretation},
pubstate = {published},
tppubtype = {article}
}
|
Pasquale Foggia; Benoit Gaüzère; Alessia Saggese; Mario Vento Human action recognition using an improved string edit distance Conference 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2015, 2015. BibTeX | Tag: Video analysis and interpretation @conference{FoggiaActionEdit15,
title = {Human action recognition using an improved string edit distance},
author = {Pasquale Foggia and Benoit Gaüzère and Alessia Saggese and Mario Vento},
year = {2015},
date = {2015-08-27},
booktitle = {12th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2015},
journal = {1},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {conference}
}
|
Pasquale Foggia; Nicolai Petkov; Alessia Saggese; Nicola Strisciuglio; Mario Vento Car crashes detection by audio analysis in crowded roads Conference 2th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2015, 2015. BibTeX | Tag: Audio analysis and interpretation @conference{FoggiaAvssAudio15,
title = {Car crashes detection by audio analysis in crowded roads},
author = {Pasquale Foggia and Nicolai Petkov and Alessia Saggese and Nicola Strisciuglio and Mario Vento},
year = {2015},
date = {2015-08-26},
booktitle = {2th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2015},
keywords = {Audio analysis and interpretation},
pubstate = {published},
tppubtype = {conference}
}
|
Vincenzo Carletti; Pasquale Foggia; Antonio Greco; Alessia Saggese; Mario Vento Automatic detection of long-term parked cars Conference 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2015, 2015. BibTeX | Tag: Video analysis and interpretation @conference{CarlettiPark15,
title = {Automatic detection of long-term parked cars},
author = {Vincenzo Carletti and Pasquale Foggia and Antonio Greco and Alessia Saggese and Mario Vento},
year = {2015},
date = {2015-08-25},
booktitle = {12th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2015},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {conference}
}
|
Pasquale Foggia; Nicolai Petkov; Alessia Saggese; Nicola Strisciuglio; Mario Vento Reliable Detection of Audio Events in Highly Noisy Environments Journal Article Pattern Recognition Letters, 2015, ISSN: 0167-8655. BibTeX | Tag: Audio analysis and interpretation, Classification Paradigms | Links: @article{Foggia2015,
title = {Reliable Detection of Audio Events in Highly Noisy Environments},
author = {Pasquale Foggia and Nicolai Petkov and Alessia Saggese and Nicola Strisciuglio and Mario Vento},
url = {http://www.sciencedirect.com/science/article/pii/S0167865515001981},
issn = {0167-8655},
year = {2015},
date = {2015-07-09},
journal = {Pattern Recognition Letters},
keywords = {Audio analysis and interpretation, Classification Paradigms},
pubstate = {published},
tppubtype = {article}
}
|
Vincenzo Carletti; Pasquale Foggia; Mario Vento VF2 Plus: An Improved version of VF2 for Biological Graphs Conference Graph-Based Representations in Pattern Recognition, 2015. BibTeX | Tag: Graph based classification and learning @conference{Carletti15VF2,
title = {VF2 Plus: An Improved version of VF2 for Biological Graphs},
author = {Vincenzo Carletti and Pasquale Foggia and Mario Vento},
year = {2015},
date = {2015-05-15},
booktitle = {Graph-Based Representations in Pattern Recognition},
keywords = {Graph based classification and learning},
pubstate = {published},
tppubtype = {conference}
}
|
Vincenzo Carletti; Pasquale Foggia; Mario Vento; Xiaoyi Jiang Report on the First Contest on Graph Matching Algorithms for Pattern Search in Biological Databases Conference Graph-Based Representations in Pattern Recognition, 2015. BibTeX | Tag: Graph based classification and learning @conference{CarlettiContest15,
title = {Report on the First Contest on Graph Matching Algorithms for Pattern Search in Biological Databases},
author = {Vincenzo Carletti and Pasquale Foggia and Mario Vento and Xiaoyi Jiang},
year = {2015},
date = {2015-05-15},
booktitle = {Graph-Based Representations in Pattern Recognition},
keywords = {Graph based classification and learning},
pubstate = {published},
tppubtype = {conference}
}
|
Vincenzo Carletti; Pasquale Foggia; Alessia Saggese; Mario Vento A fast subgraph isomorphism algorithm for social networks graphs Conference Proceedings of the International Workshop on Social Network Analysis, 2015, 2015. BibTeX | Tag: Graph based classification and learning @conference{CarlettiARS15,
title = {A fast subgraph isomorphism algorithm for social networks graphs},
author = {Vincenzo Carletti and Pasquale Foggia and Alessia Saggese and Mario Vento},
year = {2015},
date = {2015-04-01},
booktitle = {Proceedings of the International Workshop on Social Network Analysis, 2015},
keywords = {Graph based classification and learning},
pubstate = {published},
tppubtype = {conference}
}
|
Giovanni Acampora; Pasquale Foggia; Alessia Saggese; Mario Vento A Hierarchical Neuro-Fuzzy Architecture for Human Behavior Analysis Journal Article Information Sciences, 2015. Abstract | BibTeX | Tag: Video analysis and interpretation | Links: @article{inf_sci15,
title = {A Hierarchical Neuro-Fuzzy Architecture for Human Behavior Analysis},
author = {Giovanni Acampora and Pasquale Foggia and Alessia Saggese and Mario Vento},
editor = {Elsevier},
url = {http://dx.doi.org/10.1016/j.ins.2015.03.021},
year = {2015},
date = {2015-03-20},
journal = {Information Sciences},
abstract = {Analysis and detection of human behaviors from video sequences has became recently a very hot research topic in computer vision and artificial intelligence. Indeed, human behavior understanding plays a fundamental role in several innovative application domains such as smart video surveillance, ambient intelligence and content-based video information retrieval. However, the uncertainty and vagueness that typically characterize human daily activities make frameworks for human behavior analysis (HBA) hard to design and develop. In order to bridge this gap, this paper proposes a hierarchical architecture, based on a tracking algorithm, time-delay neural networks and fuzzy inference systems, aimed at improving the performance of current HBA systems in terms of scalability, robustness and effectiveness in behavior detection. Precisely, the joint use of the aforementioned methodologies enables both a quantitative and qualitative behavioral analysis that efficiently face the intrinsic people/objects tracking imprecision and provide context aware and semantic capabilities for better identifying a given activity. The validity and effectiveness of the proposed framework have been verified by using the well-known CAVIAR dataset and comparing our system’s performance with other similar approaches working on the same dataset.},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {article}
}
Analysis and detection of human behaviors from video sequences has became recently a very hot research topic in computer vision and artificial intelligence. Indeed, human behavior understanding plays a fundamental role in several innovative application domains such as smart video surveillance, ambient intelligence and content-based video information retrieval. However, the uncertainty and vagueness that typically characterize human daily activities make frameworks for human behavior analysis (HBA) hard to design and develop. In order to bridge this gap, this paper proposes a hierarchical architecture, based on a tracking algorithm, time-delay neural networks and fuzzy inference systems, aimed at improving the performance of current HBA systems in terms of scalability, robustness and effectiveness in behavior detection. Precisely, the joint use of the aforementioned methodologies enables both a quantitative and qualitative behavioral analysis that efficiently face the intrinsic people/objects tracking imprecision and provide context aware and semantic capabilities for better identifying a given activity. The validity and effectiveness of the proposed framework have been verified by using the well-known CAVIAR dataset and comparing our system’s performance with other similar approaches working on the same dataset. |
Luc Brun; Pasquale Foggia; Alessia Saggese; Mario Vento Recognition of human actions using edit distance on aclet strings Inproceedings VISAPP 2015, 2015. BibTeX | Tag: Video analysis and interpretation @inproceedings{visapp15_ed,
title = {Recognition of human actions using edit distance on aclet strings},
author = {Luc Brun and Pasquale Foggia and Alessia Saggese and Mario Vento},
year = {2015},
date = {2015-03-13},
booktitle = {VISAPP 2015},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Pasquale Foggia; Antonio Greco; Alessia Saggese; Mario Vento A method for detecting long term left baggage based on heat map Inproceedings VISAPP 2015, 2015. BibTeX | Tag: Video analysis and interpretation @inproceedings{visapp15_lb,
title = {A method for detecting long term left baggage based on heat map},
author = {Pasquale Foggia and Antonio Greco and Alessia Saggese and Mario Vento},
year = {2015},
date = {2015-03-12},
booktitle = {VISAPP 2015},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Pasquale Foggia; Alessia Saggese; Mario Vento Real-time Fire Detection for Video Surveillance Applications using a Combination of Experts based on Color, Shape and Motion Journal Article IEEE Transactions on Circuits and Systems for Video Technology, 2015. BibTeX | Tag: Video analysis and interpretation | Links: @article{csvt2015_fire,
title = {Real-time Fire Detection for Video Surveillance Applications using a Combination of Experts based on Color, Shape and Motion},
author = {Pasquale Foggia and Alessia Saggese and Mario Vento},
editor = {IEEE},
url = {http://dx.doi.org/10.1109/TCSVT.2015.2392531},
year = {2015},
date = {2015-01-14},
journal = {IEEE Transactions on Circuits and Systems for Video Technology},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {article}
}
|
2014
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Pasquale Foggia; Alessia Saggese; Nicola Strisciuglio; Mario Vento Cascade Classifiers Trained on Gammatonegrams for Reliably Detecting Audio Events Inproceedings IEEE, (Ed.): IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2014), 2014, ISBN: 978-1-4799-4871-0/14. BibTeX | Tag: Audio analysis and interpretation @inproceedings{avss14_audio,
title = {Cascade Classifiers Trained on Gammatonegrams for Reliably Detecting Audio Events},
author = {Pasquale Foggia and Alessia Saggese and Nicola Strisciuglio and Mario Vento},
editor = {IEEE},
isbn = {978-1-4799-4871-0/14},
year = {2014},
date = {2014-08-29},
booktitle = {IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2014)},
keywords = {Audio analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Pasquale Foggia; Alessia Saggese; Nicola Strisciuglio; Mario Vento Exploiting the Deep Learning Paradigm for Recognizing Human Actions Inproceedings IEEE, (Ed.): IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2014), 2014, ISBN: 978-1-4799-4871-0/14. BibTeX | Tag: Video analysis and interpretation @inproceedings{avss14_deep,
title = {Exploiting the Deep Learning Paradigm for Recognizing Human Actions},
author = {Pasquale Foggia and Alessia Saggese and Nicola Strisciuglio and Mario Vento},
editor = {IEEE},
isbn = {978-1-4799-4871-0/14},
year = {2014},
date = {2014-08-29},
booktitle = {IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2014)},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Pasquale Foggia; Gennaro Percannella; Alessia Saggese; Mario Vento Pattern recognition in stained HEp-2 cells: Where are we now? Journal Article Pattern Recognition, 2014, ISSN: 0031-3203. BibTeX | Tag: Image analysis and recognition | Links: @article{hep2_2014_pr,
title = {Pattern recognition in stained HEp-2 cells: Where are we now?},
author = {Pasquale Foggia and Gennaro Percannella and Alessia Saggese and Mario Vento},
url = {http://www.sciencedirect.com/science/article/pii/S0031320314000284},
issn = {0031-3203},
year = {2014},
date = {2014-02-12},
journal = {Pattern Recognition},
keywords = {Image analysis and recognition},
pubstate = {published},
tppubtype = {article}
}
|
Pasquale Foggia; Gennaro Percannella; Paolo Soda; Mario Vento Special issue on the analysis and recognition of indirect immuno-fluorescence images Journal Article Pattern Recognition, pp. 2303-2304, 2014. BibTeX | Tag: Medical image analysis @article{si_pr_2015,
title = {Special issue on the analysis and recognition of indirect immuno-fluorescence images},
author = {Pasquale Foggia and Gennaro Percannella and Paolo Soda and Mario Vento},
year = {2014},
date = {2014-01-15},
journal = {Pattern Recognition},
pages = {2303-2304},
keywords = {Medical image analysis},
pubstate = {published},
tppubtype = {article}
}
|
2013
|
Pasquale Foggia; Gennaro Percannella; Mario Vento Graph matching and learning in Pattern Recognition in the last 10 years Journal Article International Journal of Pattern Recognition and Artificial Intelligence, 2013, ISBN: 1793-6381. BibTeX | Tag: Graph based classification and learning | Links: @article{foggia13_ijprai,
title = {Graph matching and learning in Pattern Recognition in the last 10 years},
author = {Pasquale Foggia and Gennaro Percannella and Mario Vento},
url = {http://www.worldscientific.com/doi/abs/10.1142/S0218001414500013},
isbn = {1793-6381},
year = {2013},
date = {2013-12-09},
journal = {International Journal of Pattern Recognition and Artificial Intelligence},
keywords = {Graph based classification and learning},
pubstate = {published},
tppubtype = {article}
}
|
Pasquale Foggia; Gennaro Percannella; Alessia Saggese; Mario Vento Recognizing Human Actions by a bag of visual words Inproceedings IEEE International Conference on Systems, Man and Cybernetics, IEEE SMC 2013, 2013. BibTeX | Tag: Video analysis and interpretation @inproceedings{smc-13,
title = {Recognizing Human Actions by a bag of visual words},
author = {Pasquale Foggia and Gennaro Percannella and Alessia Saggese and Mario Vento},
year = {2013},
date = {2013-10-15},
booktitle = {IEEE International Conference on Systems, Man and Cybernetics, IEEE SMC 2013},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Vincenzo Carletti; Pasquale Foggia; Mario Vento Performance Comparison of Five Exact Graph Matching Algorithms on Biological Databases Inproceedings ICIAP Workshops 2013, pp. 409-417, Springer Berlin Heidelberg, 2013, ISBN: 978-3-642-41189-2. BibTeX | Tag: Graph based classification and learning @inproceedings{biograph13,
title = {Performance Comparison of Five Exact Graph Matching Algorithms on Biological Databases},
author = {Vincenzo Carletti and Pasquale Foggia and Mario Vento},
isbn = {978-3-642-41189-2},
year = {2013},
date = {2013-09-12},
booktitle = {ICIAP Workshops 2013},
volume = {8158},
pages = {409-417},
publisher = {Springer Berlin Heidelberg},
keywords = {Graph based classification and learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Vincenzo Carletti; Pasquale Foggia; Gennaro Percannella; Alessia Saggese; Mario Vento Recognition of human actions from RGB-D videos using a reject option Inproceedings International Workshop on Social Behaviour Analysis, SBA, pp. 436-445, Springer Berlin Heidelberg, 2013, ISBN: 978-3-642-41189-2. BibTeX | Tag: Video analysis and interpretation @inproceedings{sba-13,
title = {Recognition of human actions from RGB-D videos using a reject option},
author = {Vincenzo Carletti and Pasquale Foggia and Gennaro Percannella and Alessia Saggese and Mario Vento},
isbn = {978-3-642-41189-2},
year = {2013},
date = {2013-09-10},
booktitle = {International Workshop on Social Behaviour Analysis, SBA},
volume = {8158},
pages = {436-445},
publisher = {Springer Berlin Heidelberg},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Vincenzo Carletti; Pasquale Foggia; Gennaro Percannella; Alessia Saggese; Nicola Strisciuglio; Mario Vento Audio Surveillance Using a Bag of Aural Words Classifier Inproceedings IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2013), pp. 81-86, 2013, ISBN: 10.1109/AVSS.2013.6636620. BibTeX | Tag: Audio analysis and interpretation @inproceedings{avss13,
title = {Audio Surveillance Using a Bag of Aural Words Classifier},
author = {Vincenzo Carletti and Pasquale Foggia and Gennaro Percannella and Alessia Saggese and Nicola Strisciuglio and Mario Vento},
isbn = {10.1109/AVSS.2013.6636620},
year = {2013},
date = {2013-08-28},
booktitle = {IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2013)},
pages = {81-86},
keywords = {Audio analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Rosario Di Lascio; Pasquale Foggia; Gennaro Percannella; Alessia Saggese; Mario Vento A real time algorithm for people tracking using contextual reasoning Journal Article Computer Vision and Image Understanding, 117 (8), pp. 892 - 908, 2013, ISBN: 1077-3142. Abstract | BibTeX | Tag: Video analysis and interpretation | Links: @article{cviu2013,
title = {A real time algorithm for people tracking using contextual reasoning},
author = {Rosario Di Lascio and Pasquale Foggia and Gennaro Percannella and Alessia Saggese and Mario Vento},
url = {http://www.sciencedirect.com/science/article/pii/S1077314213000908},
isbn = {1077-3142},
year = {2013},
date = {2013-04-30},
journal = {Computer Vision and Image Understanding},
volume = {117},
number = {8},
pages = {892 - 908},
abstract = {In this paper we present a real-time tracking algorithm that is able to deal with complex occlusions involving a plurality of moving objects simultaneously. The rationale is grounded on a suitable representation and exploitation of the recent history of each single moving object being tracked. The object history is encoded using a state, and the transitions among the states are described through a Finite State Automata (FSA). In presence of complex situations the tracking is properly solved by making the FSA’s of the involved objects interact with each other. This is the way for basing the tracking decisions not only on the information present in the current frame, but also on conditions that have been observed more stably over a longer time span. The object history can be used to reliably discern the occurrence of the most common problems affecting object detection, making this method particularly robust in complex scenarios. An experimental evaluation of the proposed approach has been made on two publicly available datasets, the ISSIA Soccer Dataset and the PETS 2010 database.},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {article}
}
In this paper we present a real-time tracking algorithm that is able to deal with complex occlusions involving a plurality of moving objects simultaneously. The rationale is grounded on a suitable representation and exploitation of the recent history of each single moving object being tracked. The object history is encoded using a state, and the transitions among the states are described through a Finite State Automata (FSA). In presence of complex situations the tracking is properly solved by making the FSA’s of the involved objects interact with each other. This is the way for basing the tracking decisions not only on the information present in the current frame, but also on conditions that have been observed more stably over a longer time span. The object history can be used to reliably discern the occurrence of the most common problems affecting object detection, making this method particularly robust in complex scenarios. An experimental evaluation of the proposed approach has been made on two publicly available datasets, the ISSIA Soccer Dataset and the PETS 2010 database. |
Pasquale Foggia; Gennaro Percannella; Alessia Saggese; Mario Vento Real-Time Tracking of Single People and Groups Simultaneously by Contextual Graph-Based Reasoning Dealing Complex Occlusions Inproceedings Proceedings of the IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS), pp. 29 - 36, IEEE, 2013, ISSN: 2157-491X. BibTeX | Tag: Video analysis and interpretation @inproceedings{pets13,
title = {Real-Time Tracking of Single People and Groups Simultaneously by Contextual Graph-Based Reasoning Dealing Complex Occlusions},
author = {Pasquale Foggia and Gennaro Percannella and Alessia Saggese and Mario Vento},
issn = {2157-491X},
year = {2013},
date = {2013-01-17},
booktitle = {Proceedings of the IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS)},
pages = {29 - 36},
publisher = {IEEE},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Amal Mahboubi; Luc Brun; Donatello Conte; Pasquale Foggia; Mario Vento Tracking System with Re-identification Using a Graph Kernels Approach Incollection Computer Analysis of Images and Patterns (CAIP), pp. 401-408, 2013, ISBN: 978-3-642-40260-9. BibTeX | Tag: Video analysis and interpretation | Links: @incollection{caip2013,
title = {Tracking System with Re-identification Using a Graph Kernels Approach},
author = {Amal Mahboubi and Luc Brun and Donatello Conte and Pasquale Foggia and Mario Vento},
url = {http://dx.doi.org/10.1007/978-3-642-40261-6_48},
isbn = {978-3-642-40260-9},
year = {2013},
date = {2013-01-10},
booktitle = {Computer Analysis of Images and Patterns (CAIP)},
pages = {401-408},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {incollection}
}
|
Rosario Di Lascio; Pasquale Foggia; Alessia Saggese; Mario Vento A robust people tracking algorithm using contextual reasoning for recovering detection errors Book Chapter Heidelberg, Springer-Verlag Berlin (Ed.): CCIS 359 , pp. 225-241, Springer Berlin Heidelberg, 2013, ISBN: 978-3-642-38240-6. BibTeX | Tag: Video analysis and interpretation @inbook{visigrapp-13,
title = {A robust people tracking algorithm using contextual reasoning for recovering detection errors},
author = {Rosario Di Lascio and Pasquale Foggia and Alessia Saggese and Mario Vento},
editor = {Springer-Verlag Berlin Heidelberg},
isbn = {978-3-642-38240-6},
year = {2013},
date = {2013-01-01},
volume = {CCIS 359},
pages = {225-241},
publisher = {Springer Berlin Heidelberg},
series = {Communications in Computer and Information VISIGRAPP 2012},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inbook}
}
|
Mario Vento; Pasquale Foggia Graph-Based Methods in Computer Vision: Developments and Applications Book Chapter Chapter Graph Matching Techniques for Computer V, pp. 1-41, Idea Group, Information Science Reference, Hershey -- USA, 2013, ISSN: 9781466618916. BibTeX | Tag: Graph based classification and learning | Links: @inbook{vento,
title = {Graph-Based Methods in Computer Vision: Developments and Applications},
author = {Mario Vento and Pasquale Foggia},
url = {http://www.igi-global.com/viewtitlesample.aspx?id=69068&ptid=63867&t=graph%20matching%20techniques%20for%20computer%20vision},
issn = {9781466618916},
year = {2013},
date = {2013-01-01},
pages = {1-41},
publisher = {Idea Group, Information Science Reference},
address = {Hershey -- USA},
chapter = {Graph Matching Techniques for Computer V},
keywords = {Graph based classification and learning},
pubstate = {published},
tppubtype = {inbook}
}
|
Donatello Conte; Rosario Di Lascio; Pasquale Foggia; Gennaro Percannella; Mario Vento Pupil Localization by a Template Matching Method Inproceedings Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP), pp. 779-782, 2013. BibTeX | Tag: Image analysis and recognition @inproceedings{pets13b,
title = {Pupil Localization by a Template Matching Method},
author = {Donatello Conte and Rosario Di Lascio and Pasquale Foggia and Gennaro Percannella and Mario Vento},
year = {2013},
date = {2013-01-01},
booktitle = {Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP)},
pages = {779-782},
keywords = {Image analysis and recognition},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Mario Vento Counting moving persons in crowded scenes Journal Article Machine Vision and Applications, 24 (5), pp. 1029-1042, 2013, ISSN: 0932-8092. BibTeX | Tag: Video analysis and interpretation | Links: @article{mva13,
title = {Counting moving persons in crowded scenes},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Mario Vento},
url = {http://dx.doi.org/10.1007/s00138-013-0491-3},
issn = {0932-8092},
year = {2013},
date = {2013-01-01},
journal = {Machine Vision and Applications},
volume = {24},
number = {5},
pages = {1029-1042},
publisher = {Springer-Verlag},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {article}
}
|
Pasquale Foggia; Gennaro Percannella; Paolo Soda; Mario Vento Benchmarking HEp-2 Cells Classification Methods Journal Article Medical Imaging, IEEE Transactions on, 32 (10), pp. 1878 - 1889, 2013, ISSN: 0278-0062. BibTeX | Tag: Image analysis and recognition @article{6542690,
title = {Benchmarking HEp-2 Cells Classification Methods},
author = {Pasquale Foggia and Gennaro Percannella and Paolo Soda and Mario Vento},
issn = {0278-0062},
year = {2013},
date = {2013-01-01},
journal = {Medical Imaging, IEEE Transactions on},
volume = {32},
number = {10},
pages = {1878 - 1889},
keywords = {Image analysis and recognition},
pubstate = {published},
tppubtype = {article}
}
|
2012
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Mario Vento A 3D Appearance Model for Object Tracking in Video Surveillance Applications Journal Article THE MEDITERRANEAN JOURNAL OF COMPUTERS AND NETWORKS, 8-4 , pp. 134-144, 2012, ISSN: 1744-2397. BibTeX | Tag: Video analysis and interpretation @article{med12,
title = {A 3D Appearance Model for Object Tracking in Video Surveillance Applications},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Mario Vento},
issn = {1744-2397},
year = {2012},
date = {2012-12-03},
journal = {THE MEDITERRANEAN JOURNAL OF COMPUTERS AND NETWORKS},
volume = {8-4},
pages = {134-144},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {article}
}
|
Giovanni Acampora; Pasquale Foggia; Alessia Saggese; Mario Vento Combining Neural Networks and Fuzzy Systems for Human Behavior Understanding Inproceedings Proceedings of the "IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)", pp. 88-93, IEEE, 2012, ISBN: 978-1-4673-2499-1. BibTeX | Tag: Video analysis and interpretation @inproceedings{Acampora2012,
title = {Combining Neural Networks and Fuzzy Systems for Human Behavior Understanding},
author = {Giovanni Acampora and Pasquale Foggia and Alessia Saggese and Mario Vento},
isbn = {978-1-4673-2499-1},
year = {2012},
date = {2012-09-21},
booktitle = {Proceedings of the "IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)"},
pages = {88-93},
publisher = {IEEE},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Alessia Saggese; Mario Vento An ensemble of rejecting classifiers for anomaly detection of audio events Inproceedings Proceedings of the "IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)", pp. 76-81, IEEE, 2012. BibTeX | Tag: Others @inproceedings{Conte2012_audio,
title = {An ensemble of rejecting classifiers for anomaly detection of audio events},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Alessia Saggese and Mario Vento},
year = {2012},
date = {2012-09-12},
booktitle = {Proceedings of the "IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)"},
pages = {76-81},
publisher = {IEEE},
keywords = {Others},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Rosario Di Lascio; Pasquale Foggia; Alessia Saggese; Mario Vento Tracking Interacting Objects in Complex Situations by using Contextual Reasoning. Inproceedings Csurka, Gabriela; Braz, José (Ed.): Proceedings of International Conference on Computer Vision Theory and Applications (VISAPP), pp. 104-113, SciTePress, 2012, ISSN: 978-989-8565-04-4. BibTeX | Tag: Video analysis and interpretation | Links: @inproceedings{Visapp12,
title = {Tracking Interacting Objects in Complex Situations by using Contextual Reasoning.},
author = {Rosario Di Lascio and Pasquale Foggia and Alessia Saggese and Mario Vento},
editor = {Gabriela Csurka and José Braz},
url = {http://dblp.uni-trier.de/db/conf/visapp/visapp2012-2.html#LascioFSV12},
issn = {978-989-8565-04-4},
year = {2012},
date = {2012-01-01},
booktitle = {Proceedings of International Conference on Computer Vision Theory and Applications (VISAPP)},
pages = {104-113},
publisher = {SciTePress},
crossref = {conf/visapp/2012-2},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Mario Vento Removing object reflections in videos by global optimization Journal Article Circuits and Systems for Video Technology, IEEE Transactions on, 22 (11), pp. 1623 - 1633, 2012, ISSN: 1051-8215. BibTeX | Tag: Video analysis and interpretation @article{6210370,
title = {Removing object reflections in videos by global optimization},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Mario Vento},
issn = {1051-8215},
year = {2012},
date = {2012-01-01},
journal = {Circuits and Systems for Video Technology, IEEE Transactions on},
volume = {22},
number = {11},
pages = {1623 - 1633},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {article}
}
|
2011
|
Luc Brun; Donatello Conte; Pasquale Foggia; Mario Vento A Graph-Kernel Method for Re-identification Inproceedings Image Analysis and Recognition, pp. 173–182, Springer Verlag, BERLINO -- DEU, 2011, ISSN: 9783642215926. BibTeX | Tag: Video analysis and interpretation | Links: @inproceedings{l.2011,
title = {A Graph-Kernel Method for Re-identification},
author = {Luc Brun and Donatello Conte and Pasquale Foggia and Mario Vento},
url = {http://dx.medra.org/10.1007/978-3-642-21593-3_18},
issn = {9783642215926},
year = {2011},
date = {2011-01-01},
booktitle = {Image Analysis and Recognition},
volume = {LNCS 6753},
pages = {173--182},
publisher = {Springer Verlag},
address = {BERLINO -- DEU},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Luc Brun; Donatello Conte; Pasquale Foggia; Mario Vento People re-identification by Graph Kernels Methods Inproceedings International Workshop on Graph-Based Representations in Pattern Recognition, pp. 285-294, Springer, DEU, 2011, ISSN: 9783642208430. BibTeX | Tag: Video analysis and interpretation @inproceedings{luc2011,
title = {People re-identification by Graph Kernels Methods},
author = {Luc Brun and Donatello Conte and Pasquale Foggia and Mario Vento},
issn = {9783642208430},
year = {2011},
date = {2011-01-01},
booktitle = {International Workshop on Graph-Based Representations in Pattern Recognition},
pages = {285-294},
publisher = {Springer},
address = {DEU},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Francesco Tufano; Mario Vento Reflection Removal for People Detection in Video Surveillance Applications Inproceedings Proceedings of the International Conference on Image Analysis and Processing - ICIAP 2011, pp. 178-186, SPRINGER, 2011, ISSN: 9783642240843. BibTeX | Tag: Video analysis and interpretation | Links: @inproceedings{Conte2011,
title = {Reflection Removal for People Detection in Video Surveillance Applications},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Francesco Tufano and Mario Vento},
url = {http://dx.medra.org/10.1007/978-3-642-24085-0_19},
issn = {9783642240843},
year = {2011},
date = {2011-01-01},
booktitle = {Proceedings of the International Conference on Image Analysis and Processing - ICIAP 2011},
volume = {LNCS 6978},
pages = {178-186},
publisher = {SPRINGER},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Francesco Tufano; Mario Vento An Effective Method For Counting People in Video-surveillance Applications Inproceedings Proceedings of the International Conference on Computer Vision Theory and Applications, pp. 67–74, SciTePress , Science and Technology Publications, 2011, ISBN: 978-989-8425-47-8. BibTeX | Tag: Video analysis and interpretation @inproceedings{d.2011-2,
title = {An Effective Method For Counting People in Video-surveillance Applications},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Francesco Tufano and Mario Vento},
isbn = {978-989-8425-47-8},
year = {2011},
date = {2011-01-01},
booktitle = {Proceedings of the International Conference on Computer Vision Theory and Applications},
pages = {67--74},
publisher = {SciTePress , Science and Technology Publications},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Mario Vento A MultiView Appearance Model for people re-identification Inproceedings IEEE Proceedings of the 8th International Conference on Advanced Video and Signal-Based Surveillance, pp. 297–302, IEEE, 2011, ISBN: 978-1-4577-0844-2. BibTeX | Tag: Video analysis and interpretation @inproceedings{d.2011-3,
title = {A MultiView Appearance Model for people re-identification},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Mario Vento},
isbn = {978-1-4577-0844-2},
year = {2011},
date = {2011-01-01},
booktitle = {IEEE Proceedings of the 8th International Conference on Advanced Video and Signal-Based Surveillance},
pages = {297--302},
publisher = {IEEE},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Francesco Tufano; Mario Vento Image Segmentation Book Chapter Chapter An Enhanced Level Set Algorithm for Wris, pp. 293–308, InTech, 2011, ISSN: 9789533072289. BibTeX | Tag: Image analysis and recognition @inbook{Conte2011a,
title = {Image Segmentation},
author = {Donatello Conte and Pasquale Foggia and Francesco Tufano and Mario Vento},
issn = {9789533072289},
year = {2011},
date = {2011-01-01},
pages = {293--308},
publisher = {InTech},
chapter = {An Enhanced Level Set Algorithm for Wris},
keywords = {Image analysis and recognition},
pubstate = {published},
tppubtype = {inbook}
}
|
Pasquale Foggia; Mario Vento A middleware platform for real-time processing of multiple videostreams based on the data-flow paradigm Inproceedings 2011 IEEE International Conference on Multimedia and Expo (ICME), pp. 1–6, IEEE Computer Society, 2011, ISSN: 1945-7871. BibTeX | Tag: Others | Links: @inproceedings{p.2011,
title = {A middleware platform for real-time processing of multiple videostreams based on the data-flow paradigm},
author = {Pasquale Foggia and Mario Vento},
url = {http://dx.medra.org/10.1109/ICME.2011.6012142},
issn = {1945-7871},
year = {2011},
date = {2011-01-01},
booktitle = {2011 IEEE International Conference on Multimedia and Expo (ICME)},
pages = {1--6},
publisher = {IEEE Computer Society},
keywords = {Others},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Pasquale Foggia; Mario Vento Algoritmi e strutture dati - Astrazione, progetto e realizzazione Book McGraw-Hill, 2011, ISSN: 9788838662621. BibTeX | Tag: Algoritmi e strutture dati @book{pasquale2011,
title = {Algoritmi e strutture dati - Astrazione, progetto e realizzazione},
author = {Pasquale Foggia and Mario Vento},
issn = {9788838662621},
year = {2011},
date = {2011-01-01},
publisher = {McGraw-Hill},
keywords = {Algoritmi e strutture dati},
pubstate = {published},
tppubtype = {book}
}
|
2010
|
Luc Brun; Donatello Conte; Pasquale Foggia; Mario Vento; Didier Villemin Symbolic Learning vs. Graph Kernels: An Experimental Comparison in a Chemical Application Inproceedings Proceedings of the 14th Conference on Advances in Databases and Information Systems, pp. 31–40, University of Novi Sad, 2010. BibTeX | Tag: Classification Paradigms, Graph based classification and learning @inproceedings{l.2010,
title = {Symbolic Learning vs. Graph Kernels: An Experimental Comparison in a Chemical Application},
author = {Luc Brun and Donatello Conte and Pasquale Foggia and Mario Vento and Didier Villemin},
year = {2010},
date = {2010-01-01},
booktitle = {Proceedings of the 14th Conference on Advances in Databases and Information Systems},
pages = {31--40},
publisher = {University of Novi Sad},
keywords = {Classification Paradigms, Graph based classification and learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Francesco Tufano; Mario Vento An Experimental Evaluation of Foreground Detection Algorithms in Real Scenes Journal Article EURASIP Journal on Advances in Signal Processing, 2010 , pp. 1-10, 2010, ISSN: 1110-8657. BibTeX | Tag: Video analysis and interpretation | Links: @article{conte2010,
title = {An Experimental Evaluation of Foreground Detection Algorithms in Real Scenes},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Francesco Tufano and Mario Vento},
url = {http://dx.medra.org/10.1155/2010/373941},
issn = {1110-8657},
year = {2010},
date = {2010-01-01},
journal = {EURASIP Journal on Advances in Signal Processing},
volume = {2010},
pages = {1-10},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {article}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Francesco Tufano; Mario Vento An Algorithm for Recovering Camouflage Errors on Moving People Inproceedings International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, pp. 365-374, Springer Verlag, Berlin, 2010, ISSN: 9783642149795. BibTeX | Tag: Video analysis and interpretation @inproceedings{Conte2010b,
title = {An Algorithm for Recovering Camouflage Errors on Moving People},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Francesco Tufano and Mario Vento},
issn = {9783642149795},
year = {2010},
date = {2010-01-01},
booktitle = {International Workshop on Structural, Syntactic, and Statistical Pattern Recognition},
volume = {6218},
pages = {365-374},
publisher = {Springer Verlag},
address = {Berlin},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Francesco Tufano; Mario Vento A Method for Counting Moving People in Video Surveillance Videos Journal Article EURASIP Journal on Advances in Sinal Processing, 2010 , pp. 1-10, 2010. BibTeX | Tag: Video analysis and interpretation | Links: @article{conte2010-1,
title = {A Method for Counting Moving People in Video Surveillance Videos},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Francesco Tufano and Mario Vento},
url = {http://dx.medra.org/10.1155/2010/231240},
year = {2010},
date = {2010-01-01},
journal = {EURASIP Journal on Advances in Sinal Processing},
volume = {2010},
pages = {1-10},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {article}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Francesco Tufano; Mario Vento A Method for Counting People in Crowded Scenes Inproceedings Atti del 5° Convegno del Gruppo Italiano Ricercatori in Pattern Recognition, pp. 180-189, A.F. Abate, M.Nappi, G. Tortora, 2010. BibTeX | Tag: Video analysis and interpretation @inproceedings{d.2010-1,
title = {A Method for Counting People in Crowded Scenes},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Francesco Tufano and Mario Vento},
year = {2010},
date = {2010-01-01},
booktitle = {Atti del 5° Convegno del Gruppo Italiano Ricercatori in Pattern Recognition},
pages = {180-189},
publisher = {A.F. Abate, M.Nappi, G. Tortora},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Francesco Tufano; Mario Vento Reflection removal in color videos Inproceedings 20th International Conference on Pattern Recognition (ICPR), pp. 1788–1791, IEEE Computer Society, 2010. BibTeX | Tag: Video analysis and interpretation @inproceedings{d.2010-2,
title = {Reflection removal in color videos},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Francesco Tufano and Mario Vento},
year = {2010},
date = {2010-01-01},
booktitle = {20th International Conference on Pattern Recognition (ICPR)},
pages = {1788--1791},
publisher = {IEEE Computer Society},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Francesco Tufano; Mario Vento Counting Moving People in Videos by Salient Points Detection Inproceedings 20th International Conference on Pattern Recognition (ICPR), pp. 1743-1746, IEEE Computer Society, 2010, ISSN: 1051-4651. BibTeX | Tag: Video analysis and interpretation @inproceedings{d.2010-3,
title = {Counting Moving People in Videos by Salient Points Detection},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Francesco Tufano and Mario Vento},
issn = {1051-4651},
year = {2010},
date = {2010-01-01},
booktitle = {20th International Conference on Pattern Recognition (ICPR)},
pages = {1743-1746},
publisher = {IEEE Computer Society},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
