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Multi-temporal foreground detection in videos
2015
2015 IEEE International Conference on Image Processing (ICIP)
A common task in video processing is the binary separation of a video's content into either background or moving foreground. However, many situations require a foreground analysis with a finer temporal granularity, in particular for objects or people which remain immobile for a certain period of time. We propose an efficient method which detects foreground at different timescales, by exploiting the desirable theoretical and practical properties of Robust Principal Component Analysis. Our
doi:10.1109/icip.2015.7351678
dblp:conf/icip/TepperNSS15
fatcat:qr7ei245dbglbcan22yhpgp7sm