In this paper, we propose a new method to extract moving objects from a video stream without any motion estimation. The objective is to obtain a method robust to noise, large motions and ghost phenomena. Our approach consists in a frame differencing strategy combined with a hierarchical segmentation approach. First, we propose to extract moving edges with a new robust difference scheme, based on the spatial gradient. In the second stage, the moving regions are extracted from previously detected moving edges by using a hierarchical segmentation. The obtained moving objects description is represented as an adjacency graph. The method is validated on real sequences in the context of video-surveillance, assuming a static camera hypothesis. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Biancardini, L., Dokladalova, E., Beucher, S., & Letellier, L. (2005). From moving edges to moving regions. In Lecture Notes in Computer Science (Vol. 3522, pp. 119–127). Springer Verlag. https://doi.org/10.1007/11492429_15
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