Shape-based human detection and segmentation via hierarchical part-template matching

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 32, Issue 4, 2010, Pages 604-618

  Lin, Zhe ^a   Davis, Larry S ^b  

^a ADOBE RESEARCH   (United States)

^b Institute of Advanced Computer Science   (United States)

Author keywords

Generic human detector; Hierarchical part template matching; Occlusion analysis; Part template tree; Pose adaptive descriptor

Indexed keywords

ADAPTIVE FEATURES; COMPENSATION SCHEME; DATA SETS; DESCRIPTORS; GENERIC HUMAN DETECTOR; HUMAN DETECTION; HUMAN POSE; IMAGE LOCATIONS; ITERATIVE OPTIMIZATION; LOCAL PARTS; MUNICH AIRPORTS; OCCLUSION ANALYSIS; PUBLIC PEDESTRIAN; SHAPE BASED; SHAPE BOUNDARIES; SVM CLASSIFIERS; TEMPLATE-BASED SCHEME; TREE-MATCHING;

DETECTORS; FEATURE EXTRACTION; IMAGE PROCESSING; TEMPLATE MATCHING;

IMAGE MATCHING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BODY POSTURE; CROWDING; DECISION TREE; HUMAN; IMAGE PROCESSING; METHODOLOGY; PHYSIOLOGY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CROWDING; DECISION TREES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; POSTURE;

EID: 77649270941     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2009.204     Document Type: Article

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