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» Collaborative particle filters for group tracking
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ICIP
2010
IEEE
13 years 5 months ago
Collaborative particle filters for group tracking
Tracking groups of people is a highly informative task in surveillance, and it represents a still open and little explored issue. In this paper, we propose a brand new framework f...
Loris Bazzani, Marco Cristani, Vittorio Murino
CVPR
2009
IEEE
2305views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Visual tracking on the affine group via geometric particle filtering using optimal importance function
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 coordinateinvariant partic...
Junghyun Kwon (Seoul National University), Kyoung ...
IJRR
2010
199views more  IJRR 2010»
13 years 2 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 tak...
Junghyun Kwon, Frank C. Park
ICASSP
2011
IEEE
12 years 11 months ago
Particle algorithms for filtering in high dimensional state spaces: A case study in group object tracking
We briefly present the current state-of-the-art approaches for group and extended object tracking with an emphasis on particle methods which have high potential to handle complex...
Lyudmila Mihaylova, Avishy Carmi