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» Tracking Large Variable Numbers of Objects in Clutter
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ECCV
2006
Springer
14 years 9 months ago
Detecting Instances of Shape Classes That Exhibit Variable Structure
This paper proposes a method for detecting instances of shape classes that exhibit variable structure. The term "variable structure" is used to characterize shape classes...
Vassilis Athitsos, Jingbin Wang, Stan Sclaroff, Ma...
CVPR
2005
IEEE
14 years 1 months ago
Online Selecting Discriminative Tracking Features Using Particle Filter
The paper proposes a method to keep the tracker robust to background clutters by online selecting discriminative features from a large feature space. Furthermore, the feature sele...
Jianyu Wang, Xilin Chen, Wen Gao
IJRR
2006
183views more  IJRR 2006»
13 years 7 months ago
Bayesian Occupancy Filtering for Multitarget Tracking: An Automotive Application
Reliable and efficient perception and reasoning in dynamic and densely cluttered environments are still major challenges for driver assistance systems. Most of today's system...
Christophe Coué, Cédric Pradalier, C...
MVA
2007
179views Computer Vision» more  MVA 2007»
13 years 7 months ago
Multi-object trajectory tracking
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
Mei Han, Wei Xu, Hai Tao, Yihong Gong
ECCV
2006
Springer
14 years 9 months ago
Robust Visual Tracking for Multiple Targets
We address the problem of robust multi-target tracking within the application of hockey player tracking. The particle filter technique is adopted and modified to fit into the multi...
Yizheng Cai, Nando de Freitas, James J. Little