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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Published in | 2009 IEEE Conference on Computer Vision and Pattern Recognition pp. 991 - 998 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.06.2009
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Subjects | |
Online Access | Get full text |
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