BM3 E: Discriminative density propagation for visual tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 29, Issue 11, 2007, Pages 2030-2044

  Sminchisescu, Cristian ^a   Kanaujia, Atul ^b   Metaxas, Dimitris N ^b  

^a UNIVERSITY OF CHICAGO   (United States)

^b RUTGERS UNIVERSITY   (United States)

Author keywords

Computer vision; Motion; Statistical models; Tracking; Video analysis

Indexed keywords

BAYESIAN NETWORKS; EXPERT SYSTEMS; FEEDFORWARD NEURAL NETWORKS; INFERENCE ENGINES; KALMAN FILTERS; MARKOV PROCESSES; MOTION PLANNING; REGRESSION ANALYSIS; STATE SPACE METHODS; VIDEO SIGNAL PROCESSING;

CONTEXTUAL MAPPING; DENSITY PROPAGATION; VIDEO SEQUENCE; VISUAL TRACKING;

COMPUTER VISION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; MOTION; PROBABILITY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; VIDEORECORDING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; COMPUTER SIMULATION; DISCRIMINANT ANALYSIS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MARKOV CHAINS; MODELS, STATISTICAL; MOTION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VIDEO RECORDING;

EID: 34548780282     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2007.1111     Document Type: Article

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