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15 November 2007 Novel motion object extraction algorithm
Yi-Jun Xiao, Bang-Pin Wang, Xiao-Chun Lu, Xin-Rong Jiang
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Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678646 (2007) https://doi.org/10.1117/12.751046
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
In intelligent transport system, it is very important to precisely segment motion object from complex scene. Background difference and frame difference are two classic motion object extraction algorithms. If there are shadows associated to moving objects, both of the methods cannot extract moving object precisely. With this problem, this paper proposes a motion object extraction algorithm based on active contour model (ACMMOE). The following steps are performed in ACMMOE: firstly, moving areas involving shadows are segmented with classical background difference algorithm. Secondly, perform shadow detection and coarsely removal, then using grid method to extract initial contours. Finally, use active contour model approach to the contour of the real object by iteratively tuning the parameter of the model. The proposed algorithm adopts greedy algorithm to speed up the solution to active contour model. Experiments show the algorithm can remove the shadow and keep the integrity of moving object.
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Yi-Jun Xiao, Bang-Pin Wang, Xiao-Chun Lu, and Xin-Rong Jiang "Novel motion object extraction algorithm", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678646 (15 November 2007); https://doi.org/10.1117/12.751046
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KEYWORDS
Motion models
Intelligence systems
Image segmentation
Detection and tracking algorithms
Image processing algorithms and systems
Motion detection
Video
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