Discrimination of abandoned and stolen object based on active contours
Entity
UAM. Departamento de Tecnología Electrónica y de las ComunicacionesPublisher
Institute of Electrical and Electronics EngineersDate
2011Citation
10.1109/AVSS.2011.6027302
8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2011, IEEE, 2011. 101-106
ISBN
978-1-4577-0843-5 (print); 978-1-4577-0844-2 (online)DOI
10.1109/AVSS.2011.6027302Funded by
This work has been partially supported by the Consejería de Educación of the Comunidad de Madrid and by The European Social Fund.Editor's Version
http://dx.doi.org/10.1109/AVSS.2011.6027302Subjects
Active contours; Image color analysis; Image edge detection; 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. L. Caro Campos, J. C. Sanmiguel, and J. M. Martínez "Discrimination of abandoned and stolen object based on active contours", in 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2011 , p. 101-106Rights
© 2011 IEEEAbstract
In this paper we propose an approach based on active contours to discriminate previously detected static foreground regions between abandoned and stolen. Firstly, the static foreground object contour is extracted. Then, an active contour adjustment is performed on the current and the background frames. Finally, similarities between the initial contour and the two adjustments are studied to decide whether the object is abandoned or stolen. Three different methods have been tested for this adjustment. Experimental results over a heterogeneous dataset show that the proposed method outperforms state-of-art approaches and provides a robust solution against non-accurate data (i.e., foreground static objects wrongly segmented) that is common in complex scenarios.
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Google Scholar:Caro Campos, Luis Alberto
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San Miguel Avedillo, Juan Carlos
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Martínez Sánchez, José María
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