Tracking by affine kernel transformations using color and boundary cues

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 31, Issue 1, 2009, Pages 164-171

  Leichter, Ido ^a   Lindenbaum, Michael ^a   Rivlin, Ehud ^a  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

Approximation methods; Color; Image color analysis; Kernel; Kernel based tracking; Pixel; Probability density function; Target tracking; Visual tracking

Indexed keywords

AGGLOMERATION; AGGREGATES; APPROXIMATION THEORY; COLOR; MOTION ESTIMATION; OPTICAL PROPERTIES; TARGETS;

APPROXIMATION METHODS; IMAGE COLOR ANALYSIS; KERNEL; KERNEL-BASED TRACKING; VISUAL TRACKING;

PROBABILITY DENSITY FUNCTION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ASSOCIATION; AUTOMATED PATTERN RECOGNITION; COLOR; COLORIMETRY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; METHODOLOGY; THEORETICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COLOR; COLORIMETRY; COMPUTER SIMULATION; CUES; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, THEORETICAL; PATTERN RECOGNITION, AUTOMATED;

EID: 57149133100     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2008.194     Document Type: Article

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