Multicue HMM-UKF for real-time contour tracking

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 28, Issue 9, 2006, Pages 1525-1529

  Chen, Yunqiang ^a   Rui, Yong ^b   Huang, Thomas S ^c  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b MICROSOFT RESEARCH   (United States)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

HMM; Joint probabilistic matching; Parametric contour; Unscented Kalman filters

Indexed keywords

CLUTTER (INFORMATION THEORY); KALMAN FILTERING; MARKOV PROCESSES; PATTERN MATCHING;

CONTOUR TRACKING; HIDDEN MARKOV MODELS; JOINT PROBABILISTIC MATCHING; PARAMETRIC CONTOUR; UNSCENTED KALMAN FILTERS;

IMAGE ANALYSIS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; COMPUTER SYSTEM; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; MOTION; PROBABILITY; STATISTICAL MODEL;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; COMPUTER SYSTEMS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MARKOV CHAINS; MODELS, STATISTICAL; MOTION; PATTERN RECOGNITION, AUTOMATED;

EID: 33746533242     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2006.190     Document Type: Article

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