Rosario Di Lascio; Antonio Greco; Alessia Saggese; Mario Vento Improving fire detection reliability by a combination of videoanalytics Incollection Publishing, Springer International (Ed.): Image Analysis and Recognition, pp. 477-484, 2014, ISBN: 978-3-319-11757-7. BibTeX | Tag: Video analysis and interpretation | Links: @incollection{iciar2014,
title = {Improving fire detection reliability by a combination of videoanalytics},
author = {Rosario Di Lascio and Antonio Greco and Alessia Saggese and Mario Vento},
editor = {Springer International Publishing},
url = {http://dx.doi.org/10.1007/978-3-319-11758-4_52},
isbn = {978-3-319-11757-7},
year = {2014},
date = {2014-10-15},
booktitle = {Image Analysis and Recognition},
pages = {477-484},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {incollection}
}
|
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. |
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}
}
|
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}
}
|
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}
}
|