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An Abandoned/Removed Objects Detection Algorithm and Its Evaluation on PETS Datasets
Sydney, NSW, Australia November 22-November 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AVSS.2006.182006 IEEE International Conference on ...
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Paolo Spagnolo, Andrea Caroppo, Marco Leo, Tommaso Martiriggiano, Tiziana D'Orazio, "An Abandoned/Removed Objects Detection Algorithm and Its Evaluation on PETS Datasets," Advanced Video and Signal Based Surveillance, IEEE Conference on, pp. 17, 2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06), 2006.
 
 
BibTex
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@article{ 10.1109/AVSS.2006.18,
author = {Paolo Spagnolo and Andrea Caroppo and Marco Leo and Tommaso Martiriggiano and Tiziana D'Orazio},
title = {An Abandoned/Removed Objects Detection Algorithm and Its Evaluation on PETS Datasets},
journal ={Advanced Video and Signal Based Surveillance, IEEE Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2688-8},
pages = {17},
doi = {http://doi.ieeecomputersociety.org/10.1109/AVSS.2006.18},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Advanced Video and Signal Based Surveillance, IEEE Conference on
TI - An Abandoned/Removed Objects Detection Algorithm and Its Evaluation on PETS Datasets
SN - 0-7695-2688-8
SP
EP
A1 - Paolo Spagnolo,
A1 - Andrea Caroppo,
A1 - Marco Leo,
A1 - Tommaso Martiriggiano,
A1 - Tiziana D'Orazio,
PY - 2006
KW - null
VL - 0
JA - Advanced Video and Signal Based Surveillance, IEEE Conference on
ER -
 
Paolo Spagnolo, Istituto di Studi sui Sistemi Intelligenti per l'Automazione, Italy
Andrea Caroppo, Istituto di Studi sui Sistemi Intelligenti per l'Automazione, Italy
Marco Leo, Istituto di Studi sui Sistemi Intelligenti per l'Automazione, Italy
Tommaso Martiriggiano, Istituto di Studi sui Sistemi Intelligenti per l'Automazione, Italy
Tiziana D'Orazio, Istituto di Studi sui Sistemi Intelligenti per l'Automazione, Italy
In this paper, a new method for a robust and efficient analysis of video sequences is presented; it allows the extraction of foreground objects and the classification of static foreground regions as abandoned or removed objects (ghosts). As a first step, the moving regions in the scene are detected by subtracting to the current frame a background model continuously adapted. Then, a shadow removing algorithm is used to extract the real shape of detected objects. Finally, moving objects are classified as abandoned or removed by matching the boundaries of static foreground regions. The method was successfully tested on both real image sequences acquired in our laboratory and some sequences from the PETS 2006 Datasets.
Citation:
Paolo Spagnolo, Andrea Caroppo, Marco Leo, Tommaso Martiriggiano, Tiziana D'Orazio, "An Abandoned/Removed Objects Detection Algorithm and Its Evaluation on PETS Datasets," avss, pp.17, 2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06), 2006
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