Segmentation of tracking sequences using dynamically updated adaptive learning

IEEE Transactions on Image Processing

Volumn 17, Issue 12, 2008, Pages 2403-2412

  Michailovich, Oleg ^a   Tannenbaum, Tannenbaum A ^b,c  

^a UNIVERSITY OF WATERLOO   (Canada)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

Bayesian segmentation; Kalman filtering; Motion estimation; Tracking

Indexed keywords

BAYESIAN NETWORKS; CONTROL THEORY; IMAGE SEGMENTATION; KALMAN FILTERS; PARAMETER ESTIMATION;

ADAPTIVE LEARNINGS; ALTERNATIVE APPROACHES; APPLICATIONS.; BAYESIAN ESTIMATION FRAMEWORKS; BAYESIAN SEGMENTATION; DYNAMIC PARAMETERS; IMAGE SEQUENCE.; KALMAN FILTERING; MOVING OBJECTS; SEGMENTATION ALGORITHMS; SEGMENTATION INFORMATIONS; TRACKING; TRACKING SEQUENCES;

MOTION ESTIMATION;

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

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

EID: 57049091600     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2008.2006455     Document Type: Article

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