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• W2132196721 abstract "This paper presents a probabilistic framework for segmenting and tracking multiple non rigid foreground objects for video surveillance, using a static monocular camera. The algorithm combines information in a probabilistic sense and poses the problem of matching the segmented foreground objects with blobs in the next frame as a non bipartite matching problem. To solve this problem, probability is calculated for each possible matching. Initialization of new objects is also treated in a probabilistic manner. The new framework is shown to be able to handle a greater set of difficult situations and to improve performance significantly." @default.
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• W2132196721 date "2005-04-19" @default.
• W2132196721 modified "2023-09-26" @default.
• W2132196721 title "A probabilistic framework for segmentation and tracking of multiple non rigid objects for video surveillance" @default.
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• W2132196721 doi "https://doi.org/10.1109/icip.2004.1418763" @default.
• W2132196721 hasPublicationYear "2005" @default.
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