Abstract
In this paper we address a moving object segmentation technique for a video monitoring system. This is approached by means of active contours which appear to be an efficient tool for the spatio-temporal data analysis from 2D image sequences. Particularly we make use of a new active contour concept: the pixel-level snakes whose characteristics allow a high control on the contour evolution and approach topological transformations with a low computational cost. The proposal is focused in the traffic monitoring and the incident detection systems.
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Vilariño, D.L., Cabello, D., Pardo, X.M., Brea, V.M. (2003). Video Segmentation for Traffic Monitoring Tasks Based on Pixel-Level Snakes. In: Perales, F.J., Campilho, A.J.C., de la Blanca, N.P., Sanfeliu, A. (eds) Pattern Recognition and Image Analysis. IbPRIA 2003. Lecture Notes in Computer Science, vol 2652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44871-6_124
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DOI: https://doi.org/10.1007/978-3-540-44871-6_124
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