Rao-Blackwellized particle filtering with Gaussian mixture models for robust visual tracking

Computer Vision and Image Understanding

Volumn 125, Issue , 2014, Pages 128-137

  Kim, Jungho ^a   Lin, Zhe ^b   Kweon, In So ^c  

^a Korea Electronic Technology Institute (KETI)   (South Korea)

^b ADOBE RESEARCH   (United States)

^c Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Expectation Maximization; Gaussian mixture model; Rao Blackwellized particle filtering; Visual tracking

Indexed keywords

ALGORITHMS; IMAGE SEGMENTATION; MONTE CARLO METHODS; OBJECT RECOGNITION; TARGET TRACKING;

APPEARANCE MODELS; EXPECTATION MAXIMIZATION; EXPECTATION-MAXIMIZATION ALGORITHMS; GAUSSIAN MIXTURE MODEL; OBJECT TRACKING; PARTIAL OCCLUSIONS; RAO-BLACKWELLIZED PARTICLE FILTERING; VISUAL TRACKING;

COMMUNICATION CHANNELS (INFORMATION THEORY);

EID: 84901925816     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2014.04.002     Document Type: Article

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