Object Tracking by Adaptive Modeling
نویسندگان
چکیده
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.
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تاریخ انتشار 2000