Complex motion makes consecutive frames experience dramatic change, and thus becomes a barrier to object-tracking. Three factors contribute to more complexity of motion: longer sampling period,an moving object with complex appearance and nonrestraint movement, occlusion, which causes mean shift algorithm losing its target due to too low a Bhattacharyya coefficient. To treat it, mean shift algorithm is improved based on a new way of fast color thresholding and region merging in this paper. Visual experiments show the effectiveness of the proposed method.
A New Improvement on Mean-Shift Algorithm
2008 Congress on Image and Signal Processing ; 1 ; 307-311
01.05.2008
359203 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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