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IJCV
2006
100views more  IJCV 2006»
13 years 7 months ago
A General Framework for Combining Visual Trackers - The "Black Boxes" Approach
Abstract. Over the past few years researchers have been investigating the enhancement of visual tracking performance by devising trackers that simultaneously make use of several di...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
ICCV
2007
IEEE
14 years 9 months ago
Robust Visual Tracking Using the Time-Reversibility Constraint
Visual tracking is a very important front-end to many vision applications. We present a new framework for robust visual tracking in this paper. Instead of just looking forward in ...
Hao Wu, Rama Chellappa, Aswin C. Sankaranarayanan,...
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
ICIP
2004
IEEE
14 years 9 months ago
A probabilistic cooperation between trackers of coupled objects
Much work has been done in the field of visual object tracking, yielding a wide range of trackers, including ones aimed for multiple objects. In many cases, there may be a couplin...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
ECCV
2008
Springer
14 years 9 months ago
Dynamic Integration of Generalized Cues for Person Tracking
Abstract. We present an approach for the dynamic combination of multiple cues in a particle filter-based tracking framework. The proposed algorithm is based on a combination of dem...
Kai Nickel, Rainer Stiefelhagen