Surveillance video analysis using compressive sensing with low latency

We propose a method for analysis of surveillance video by using low rank and sparse decomposition (LRSD) with low latency combined with compressive sensing to segment the background and extract moving objects in a surveillance video. Video is acquired by compressive measurements, and the measurement...

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Veröffentlicht in:	Bell Labs technical journal 2014-03, Vol.18 (4), p.63-74
Hauptverfasser:	Jiang, Hong, Zhao, Songqing, Shen, Zuowei, Deng, Wei, Wilford, Paul A., Haimi-Cohen, Raziel
Format:	Artikel
Sprache:	eng
Schlagworte:	Decomposition Detection Frames Matrix decompoistion Object recognition Real time Reconstruction Segments Sparse decomposition Sparse matrices Streaming media Surveillance Video communication Wavelet Wavelet domain
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