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Videos captured by stationary cameras are usually with a static or gradually changed background. Existing schemes are not able to globally exploit the strong background temporal redundancy. In this paper, motivated by the recent advance on low-rank and sparse decomposition (LRSD), we propose to apply it for the compression of videos captured by fixed cameras. In particular, the LRSD is employed to...
Background subtraction is a technique in which a background model is built and compared with the current frame to distinguish the foreground from the background. The technique is extensively used to facilitate automatic detection, segmentation, and tracking of objects in videos. However, conventional background subtraction methods have disadvantages, such as slow model-updating speeds, the inability...
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