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ICMCS
2007
IEEE
173views Multimedia» more  ICMCS 2007»
14 years 5 months ago
Tracking Multiple Objects using Probability Hypothesis Density Filter and Color Measurements
Most methods for multiple object tracking in video represent the state of multi-objects in a high dimensional joint state space. This leads to high computational complexity. This ...
Nam Trung Pham, Weimin Huang, Sim Heng Ong
HRI
2006
ACM
14 years 4 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
CLEAR
2007
Springer
263views Biometrics» more  CLEAR 2007»
14 years 5 months ago
CLEAR'07 Evaluation of USC Human Tracking System for Surveillance Videos
This paper presents the evaluation results of a system for tracking humans in surveillance videos. Moving blobs are detected based on adaptive background modeling. A shape based mu...
Bo Wu, Vivek Kumar Singh, C.-H. Kuo, Li Zhang, Sun...
CLEAR
2006
Springer
190views Biometrics» more  CLEAR 2006»
14 years 2 months ago
Evaluation of USC Human Tracking System for Surveillance Videos
The evaluation results of a system for tracking humans in surveillance videos are presented. Moving blobs are detected based on adaptive background modeling. A shape based multi-vi...
Bo Wu, Xuefeng Song, Vivek Kumar Singh, Ram Nevati...
PAMI
2002
150views more  PAMI 2002»
13 years 10 months ago
Object Tracking with Bayesian Estimation of Dynamic Layer Representations
Decomposing video frames into coherent two-dimensional motion layers is a powerful method for representing videos. Such a representation provides an intermediate description that e...
Hai Tao, Harpreet S. Sawhney, Rakesh Kumar