Visual tracking via geometric particle filtering on the affine group with optimal importance functions

We propose a geometric method for visual tracking, in which the 2-D affine motion of a given object template is estimated in a video sequence by means of coordinate-invariant particle filtering on the 2-D affine group Aff(2). Tracking performance is further enhanced through a geometrically defined o...

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Bibliographic Details
Published in2009 IEEE Conference on Computer Vision and Pattern Recognition pp. 991 - 998
Main Authors Junghyun Kwon, Kyoung Mu Lee, Park, Frank C
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2009
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