Discrimination of abandoned and stolen object based on active contours

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. 101-106In 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.This work has been partially supported by the Consejería de Educación of the Comunidad de Madrid and by The European Social Fund