Highly nonrigid object tracking via patch-based dynamic appearance modeling

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 35, Issue 10, 2013, Pages 2427-2441

  Kwon, Junseok ^a   Lee, Kyoung Mu ^a  

^a Seoul National University   (South Korea)

Author keywords

Basin Hopping Sampling; likelihood landscape analysis; local patch based appearance model; Markov Chain Monte Carlo; nonrigid object; Object tracking

Indexed keywords

APPEARANCE MODELING; BASIN HOPPING; LANDSCAPE ANALYSIS; MARKOV CHAIN MONTE-CARLO; NON-RIGID OBJECTS; OBJECT TRACKING;

IMAGE SEGMENTATION; TRACKING (POSITION);

FACE RECOGNITION;

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

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

EID: 84882974751     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2013.32     Document Type: Article

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