Dirichlet process mixture models on symmetric positive definite matrices for appearance clustering in video surveillance applications

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

Volumn , Issue , 2011, Pages 3417-3424

  Cherian, Anoop ^a   Morellas, Vassilios ^a   Papanikolopoulos, Nikolaos ^a   Bedros, Saad J ^b  

^a University of Minnesota   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; COVARIANCE MATRIX; FACE RECOGNITION; GEOMETRY; IMAGE SEGMENTATION; INVERSE PROBLEMS; MIXTURES; SECURITY SYSTEMS;

BAYESIAN FRAMEWORKS; DIRICHLET PROCESS MIXTURE MODEL; DIVERGENCE MEASURES; NUMBER OF COMPONENTS; STATE-OF-THE-ART ALGORITHMS; SYMMETRIC POSITIVE DEFINITE MATRICES; UNSUPERVISED CLUSTERING; VIDEO-SURVEILLANCE APPLICATIONS;

CLUSTERING ALGORITHMS;

EID: 80052872734     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995723     Document Type: Conference Paper

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