Abstract
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.
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Biancardini, L., Dokladalova, E., Beucher, S., Letellier, L. (2005). From Moving Edges to Moving Regions. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492429_15
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DOI: https://doi.org/10.1007/11492429_15
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