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• W2585852823 abstract "Nowadays motion detection in video sequences is the basis for the high-level analytics and applications. After ViBe is proposed, the current mainstream detection algorithm is based on pixel level to construct the background model for the foreground / background segmentation. Influenced by this kind of algorithm, this paper proposes a spatiotemporal-based algorithm to construct an approximate precise background model. Difference with most of detection algorithms using the fixed threshold to judge the similarity of the pixel, this paper adopts the property of color clustering to determine the similarity dynamically. The experimental results on the 2012 Change Detection dataset show that the algorithm outperforms most state-of-the-art algorithms." @default.
• W2585852823 created "2017-02-10" @default.
• W2585852823 creator A5000238312 @default.
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• W2585852823 date "2016-08-01" @default.
• W2585852823 modified "2023-09-26" @default.
• W2585852823 title "Background subtraction based on pixel clustering" @default.
• W2585852823 cites W1499877760 @default.
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• W2585852823 doi "https://doi.org/10.1109/icinfa.2016.7832055" @default.
• W2585852823 hasPublicationYear "2016" @default.
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