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Authors: Pasquale Foggia ; Antonio Greco ; Alessia Saggese and Mario Vento

Affiliation: University of Salerno, Italy

Keyword(s): Left Bag, Abandoned Luggage, Stopped Object Detection.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Video Surveillance and Event Detection

Abstract: In this paper we propose a method able to identify the presence of objects remaining motionless in the scene for a long time by analyzing the videos acquired by surveillance cameras. Our approach combines a background subtraction strategy with an enhanced tracking algorithm. The main contributions of this paper are the following: first, spatio-temporal information is implicitly encoded into a heat map; furthermore, differently from state of the art methodologies, the background is not updated by only evaluating the instantaneous movement of the objects, but instead by taking into account their whole history encoded in the heat map. The experimentation has been carried out over two standard datasets and the obtained results have been compared with state of the art approaches, confirming the effectiveness and the robustness of our system.

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Paper citation in several formats:
Foggia, P.; Greco, A.; Saggese, A. and Vento, M. (2015). A Method for Detecting Long Term Left Baggage based on Heat Map. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP; ISBN 978-989-758-090-1; ISSN 2184-4321, SciTePress, pages 385-391. DOI: 10.5220/0005306803850391

@conference{visapp15,
author={Pasquale Foggia. and Antonio Greco. and Alessia Saggese. and Mario Vento.},
title={A Method for Detecting Long Term Left Baggage based on Heat Map},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP},
year={2015},
pages={385-391},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005306803850391},
isbn={978-989-758-090-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP
TI - A Method for Detecting Long Term Left Baggage based on Heat Map
SN - 978-989-758-090-1
IS - 2184-4321
AU - Foggia, P.
AU - Greco, A.
AU - Saggese, A.
AU - Vento, M.
PY - 2015
SP - 385
EP - 391
DO - 10.5220/0005306803850391
PB - SciTePress

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