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2000
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Object Tracking by Adaptive Modeling

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Object Tracking by Adaptive Modeling
This paper addresses the problem of object tracking in image sequences. The approach taken is based upon adaptive statistical models. An object selected in a frame by a user is tracked throughout the sequence by using a blob-like description of its features. The object features are continuously updated by using the on-line version of the Expectation-Maximization algorithm. The proposed object description results in a flexible representation.
Andrei Rares, Marcel J. T. Reinders
Added 25 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2000
Where ICIP
Authors Andrei Rares, Marcel J. T. Reinders
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