Robust unattended and stolen object detection by fusing simple algorithms
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
Institute of Electrical and Electronics EngineersDate
2008Citation
10.1109/AVSS.2008.16
IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance, 2008, AVSS '08. IEEE 2008. 18-25
ISBN
978-0-7695-3422-0 (online); 978-0-7695-3341-4 (print)DOI
10.1109/AVSS.2008.16Funded by
This work is supported by Cátedra Infoglobal-UAM for “Nuevas Tecnologías de video aplicadas a la seguridad”, by the Spanish Government (TEC2007-65400 SemanticVideo), by the Comunidad de Madrid (S- 050/TIC-0223 - ProMultiDis-CM), by the Consejería de Educación of the Comunidad de Madrid and by the European Social Fund.Project
Comunidad de Madrid. S2006/TIC-0233/PROMULTIDISEditor's Version
http://dx.doi.org/10.1109/AVSS.2008.16Subjects
Informática; TelecomunicacionesNote
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. J. C. San Miguel, and J. M. Martínez, "Robust unattended and stolen object detection by fusing simple algorithms", in IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance, 2008. AVSS '08, 2008, p. 18 - 25Rights
© 2008 IEEEAbstract
In this paper a new approach for detecting unattended or stolen objects in surveillance video is proposed. It is based on the fusion of evidence provided by three simple detectors. As a first step, the moving regions in the scene are detected and tracked. Then, these regions are classified as static or dynamic objects and human or nonhuman objects. Finally, objects detected as static and nonhuman are analyzed with each detector. Data from these detectors are fused together to select the best detection hypotheses. Experimental results show that the fusion-based approach increases the detection reliability as compared to the detectors and performs considerably well across a variety of multiple scenarios operating at realtime.
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Google Scholar:San Miguel Avedillo, Juan Carlos
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Martínez Sánchez, José María
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