Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2010, Pages 1847-1854

  Zhou, Xiuzhuang ^a   Lu, Yao ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

A-DENSITY; ABRUPT MOTION; BAYESIAN FILTERING FRAMEWORKS; COMPUTATIONALLY EFFICIENT; DENSITY OF STATE; GLOBAL SAMPLING; GRID-BASED; MCMC SAMPLING; MONTE CARLO; MONTE CARLO SAMPLING; MOTION UNCERTAINTY; PREDICTIVE MODELS; ROBUST TRACKING; SAMPLING METHOD; SAMPLING PROCESS; SPEED-UPS; STOCHASTIC APPROXIMATIONS; TRACKING METHOD; TRACKING SCHEME; TRAP PROBLEM;

ALGORITHMS; APPROXIMATION THEORY; COMPUTER VISION; MONTE CARLO METHODS; SAMPLING; STOCHASTIC SYSTEMS;

COMPUTATIONAL METHODS;

EID: 77956003998     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5539856     Document Type: Conference Paper

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