26 October 2013 Human detection and tracking
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Proceedings Volume 8918, MIPPR 2013: Automatic Target Recognition and Navigation; 89180O (2013) https://doi.org/10.1117/12.2031268
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
Abstract
This paper presents a method to segment moving human bodies. A self-adaptive background model is used to update the background image(so-called reference image). By calculating the Euclidean distance of corresponding points in the current and background image, we can check out the foreground objects. And the shadow can be detected and removed according to the characteristics of the shadow regions shown in HSV space. Finally, target tracking is implemented by calculating the relativity of color histogram between the moving areas in two succeeding images.
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Pengxian Yu, Yaxun Wei, "Human detection and tracking", Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 89180O (26 October 2013); doi: 10.1117/12.2031268; https://doi.org/10.1117/12.2031268
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