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» Learning bilinear models for two-factor problems in vision
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ICPR
2004
IEEE
14 years 10 months ago
Estimation of the Bayesian Network Architecture for Object Tracking in Video Sequences
It was recently proposed the use of Bayesian networks for object tracking. Bayesian networks allow to model the interaction among detected trajectories, in order to obtain a relia...
Arnaldo J. Abrantes, Jorge S. Marques, Pedro Mende...
ICPR
2004
IEEE
14 years 10 months ago
Multi-Resolution Template Kernels
Domains in which shapes of objects change rapidly and significantly are a challenge for existing representation techniques: sport is a good example of this. We present a texture-b...
Chris J. Needham, Roger D. Boyle
ACCV
2006
Springer
14 years 3 months ago
Tracking Targets Via Particle Based Belief Propagation
We first formulate multiple targets tracking problem in a dynamic Markov network(DMN)which is derived from a MRFs for joint target state and a binary process for occlusion of dual...
Jianru Xue, Nanning Zheng, Xiaopin Zhong
PAMI
2012
11 years 11 months ago
LDAHash: Improved Matching with Smaller Descriptors
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
Christoph Strecha, Alexander A. Bronstein, Michael...
CVPR
2006
IEEE
14 years 11 months ago
Composite Templates for Cloth Modeling and Sketching
Cloth modeling and recognition is an important and challenging problem in both vision and graphics tasks, such as dressed human recognition and tracking, human sketch and portrait...
Hong Chen, Zijian Xu, Ziqiang Liu, Song Chun Zhu