Visual tracking by continuous density propagation in sequential bayesian filtering framework

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 31, Issue 5, 2009, Pages 919-930

  Han, Bohyung ^a   Zhu, Ying ^b   Comaniciu, Dorin ^b   Davis, Larry S ^c  

^a Mobileye Princeton Advanced Projects Center   (United States)

^b SIEMENS CORPORATE RESEARCH   (United States)

^c University of Maryland ^*  (United States)

Author keywords

Bayesian filtering; Density approximation; Density interpolation; Density propagation; Mean shift; Particle filter; Visual tracking

Indexed keywords

BAYESIAN FILTERING; DENSITY APPROXIMATION; DENSITY INTERPOLATION; DENSITY PROPAGATION; MEAN SHIFT; PARTICLE FILTER; VISUAL TRACKING;

AIR FILTERS; BAYESIAN NETWORKS; INTERPOLATION; MOTION ESTIMATION; NONLINEAR FILTERING; TARGET TRACKING; TRELLIS CODES; VECTOR QUANTIZATION; VIDEO RECORDING;

PROBABILITY DENSITY FUNCTION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE;

EID: 64849104875     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2008.134     Document Type: Article

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