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- W2144659079 abstract "In this paper, a framework for spatiotemporal vehicle tracking using unsupervised learning-based segmentation and object tracking is presented. An adaptive background learning and subtraction method is proposed and applied to two real-traffic video sequences to obtain more accurate spatiotemporal information on the vehicle objects. As demonstrated in the experiments, almost all vehicle objects are successfully identified through this framework." @default.
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- W2144659079 date "2005-03-01" @default.
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- W2144659079 title "Spatiotemporal vehicle tracking - The use of unsupervised learning-based segmentation and object tracking spatiotemporal vehicle tracking" @default.
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- W2144659079 doi "https://doi.org/10.1109/mra.2005.1411419" @default.
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