Principal axis-based correspondence between multiple cameras for people tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 28, Issue 4, 2006, Pages 663-671

  Hu, Weiming ^a   Hu, Min ^a   Zhou, Xue ^a   Tan, Tieniu ^a   Lou, Jianguang ^a   Maybank, Steve ^b  

^a INSTITUTE OF AUTOMATION   (China)

^b UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Correspondence between multiple cameras; People tracking; Principal axes

Indexed keywords

EDGE DETECTION; FEATURE EXTRACTION; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; TRACKING (POSITION); VISION;

CAMERA CALIBRATION; MULTIPLE CAMERAS; PEOPLE TRACKING; VIDEO SEQUENCES; VISUAL SURVEILLANCE;

VIDEO CAMERAS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; METHODOLOGY; MOVEMENT (PHYSIOLOGY); PHOTOGRAPHY; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; VIDEORECORDING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MODELS, BIOLOGICAL; MOVEMENT; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAMMETRY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; VIDEO RECORDING;

EID: 33144458085     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2006.80     Document Type: Article

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