Tracking objects using shape context matching

Neurocomputing

Volumn 83, Issue , 2012, Pages 47-55

  Liu, Zhao ^a   Shen, Hui ^a   Feng, Guiyu ^b   Hu, Dewen ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

^b BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

Gaussian mixture model; Object tracking; Shape context; Shape prior

Indexed keywords

ELASTIC SHAPES; GAUSSIAN MIXTURE MODEL; OBJECT EDGE; OBJECT TRACKING; PARTIAL OCCLUSIONS; REAL TIME TRACKING; REAL WORLD VIDEOS; SEGMENTED OBJECTS; SHAPE CONTEXTS; SHAPE PRIOR; TRACKING METHOD; TRACKING OBJECTS;

COMPUTER APPLICATIONS; NEURAL NETWORKS;

ROTATION;

ACCURACY; ARTICLE; CLASSIFICATION ALGORITHM; COMPUTER SIMULATION; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; EYE TRACKING; INTERMETHOD COMPARISON; KERNEL METHOD; LEARNING ALGORITHM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PRIORITY JOURNAL; PROCESS DEVELOPMENT; VALIDATION PROCESS; VISUAL DISCRIMINATION; VISUAL STIMULATION;

EID: 84856607791     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.11.012     Document Type: Article

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