제목

An improved colour feature arrangement for Mean Shift Tracking

저자명 Xiaowei An, YoungJoon Han, HernSoo Hahn

초 록

In order to reduce redundant-empty bin capacity in the probability representation, we present a new color feature arrangement mechanism for Mean Shift tracking objects. In the proposed mechanism, the important optimal color, or we call it Optimal Color Vector, is clustered by closing Euclidean distance which happens inside the original R G B color-3 dimensional spatial domain. After obtaining clustering color from the reference image RGB spatial domain, novel clustering groups substitute for original color data. So the new color substitution distribution is as similar as the original one. And then target region in the candidate frame is mapped by the constructed optimal clustering colors and the cluster Indices. In the final, Mean Shift algorithm gives a performance in the new optimal color distribution. Comparison under the same circumstance between our algorithm and conventional Mean Shift algorithm shows that our procedure has a certain advantage on the computation cost.

Keyword Colour feature arrangement;Optimal Colour Vector;Cluster; Redundant bin
원문 수록처The Fourth International Conference on Smart IT Applications(SITA 2012), Technical Session 816
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