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» Occlusion Modeling by Tracking Multiple Objects
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214
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IVC
2007
173views more  IVC 2007»
15 years 3 months ago
Robust tracking with motion estimation and local Kernel-based color modeling
Visual tracking has been a challenging problem in computer vision over the decades. The applications of visual tracking are far-reaching, ranging from surveillance and monitoring ...
R. Venkatesh Babu, Patrick Pérez, Patrick B...
204
Voted
CVPR
2012
IEEE
13 years 6 months ago
Visual tracking via adaptive structural local sparse appearance model
Sparse representation has been applied to visual tracking by finding the best candidate with minimal reconstruction error using target templates. However most sparse representati...
Xu Jia, Huchuan Lu, Ming-Hsuan Yang
129
Voted
HRI
2006
ACM
15 years 9 months ago
Effective team-driven multi-model motion tracking
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
Yang Gu, Manuela M. Veloso
146
Voted
CVPR
2007
IEEE
16 years 5 months ago
Multi-class object tracking algorithm that handles fragmentation and grouping
We propose a framework for detecting and tracking multiple interacting objects, while explicitly handling the dual problems of fragmentation (an object may be broken into several ...
Biswajit Bose, Xiaogang Wang, Eric Grimson
132
Voted
CVPR
2009
IEEE
16 years 10 months ago
Learning to Track with Multiple Observers
We propose a novel approach to designing algorithms for object tracking based on fusing multiple observation models. As the space of possible observation models is too large for...
Björn Stenger, Roberto Cipolla, Thomas Woodle...