Segmentation of human body parts using deformable triangulation

IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans

Volumn 40, Issue 3, 2010, Pages 596-610

  Hsieh, Jun Wei ^a,b   Chuang, Chi Hung ^c   Chen, Sin Yu ^b   Chen, Chih Chiang ^b   Fan, Kuo Chin ^c,d  

^a NATIONAL TAIWAN OCEAN UNIVERSITY   (Taiwan)

^b YUAN ZE UNIVERSITY   (Taiwan)

^c FO GUANG UNIVERSITY   (Taiwan)

^d NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

Abnormal event detection; Behavior analysis; Body part segmentation; Video surveillance

Indexed keywords

BEHAVIOR ANALYSIS; BEST MODEL; BODY PARTS; BODY POSTURES; CURRENT FRAME; DEPTH FIRST SEARCH; EVENT DETECTION; GAUSSIAN MIXTURE MODELS; HUMAN BODIES; HYBRID METHOD; MODEL SELECTION; MODEL SPACES; MODEL-DRIVEN METHOD; MODEL-DRIVEN TECHNIQUES; NOVEL CLUSTERING; REFERENCE MODELS; SEGMENTATION ALGORITHMS; SEGMENTATION SCHEME; SPANNING TREE; SUBSEGMENTS; TRACKING TECHNIQUES; TRAINING SAMPLE; TREE STRUCTURES; TRIANGULAR MESHES; VIDEO SURVEILLANCE;

DEFORMATION; IMAGE SEGMENTATION; TREES (MATHEMATICS); TRIANGULATION; VIDEO AMPLIFIERS;

SECURITY SYSTEMS;

EID: 77951207029     PISSN: 10834427     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCA.2010.2040272     Document Type: Conference Paper

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