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» Tracking by Sampling Trackers
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AVSS
2009
IEEE
13 years 11 months ago
Regressed Importance Sampling on Manifolds for Efficient Object Tracking
In this paper, a new integrated particle filter is proposed for video object tracking. After particles are generated by importance sampling, each particle is regressed on the tran...
Fatih Porikli, Pan Pan
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
ICASSP
2011
IEEE
12 years 11 months ago
Multiple instance tracking based on hierarchical maximizing bag's margin boosting
In online tracking, the tracker evolves to reflect variations in object appearance and surroundings. This updating process is formulated as a supervised learning problem, thus a ...
Chunxiao Liu, Guijin Wang, Xinggang Lin, Bobo Zeng
ICCV
2007
IEEE
14 years 9 months ago
Probabilistic Color and Adaptive Multi-Feature Tracking with Dynamically Switched Priority Between Cues
We present a probabilistic multi-cue tracking approach constructed by employing a novel randomized template tracker and a constant color model based particle filter. Our approach ...
François Le Clerc, Lionel Oisel, Patrick P&...
CVPR
2005
IEEE
14 years 9 months ago
Multitarget Tracking with Split and Merged Measurements
In many multitarget tracking applications in computer vision, a detection algorithm provides locations of potential targets. Subsequently, the measurements are associated with pre...
Zia Khan, Tucker R. Balch, Frank Dellaert