Object Tracking by Adaptive Modeling

نویسندگان

  • Andrei Rares
  • Marcel J. T. Reinders
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