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IJRR
2010

Visual Tracking via Particle Filtering on the Affine Group

10 years 8 months ago
Visual Tracking via Particle Filtering on the Affine Group
We propose a particle filtering-based visual tracker, in which the affine group is treated as the state. We first develop a general particle filtering algorithm that explicitly takes into account the geometry of the affine group. The tracking performance is further enhanced by the geometric auto-regressive process used for the state dynamics, combined state-covariance estimation, and robust measurement likelihood calculation using the incremental principal geodesic analysis of the image covariance descriptors. The feasibility of our proposed visual tracker is demonstrated via experimental studies.
Junghyun Kwon, Frank C. Park
Added 18 May 2011
Updated 18 May 2011
Type Journal
Year 2010
Where IJRR
Authors Junghyun Kwon, Frank C. Park
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