Robust face tracking via collaboration of generic and specific models

IEEE Transactions on Image Processing

Volumn 17, Issue 7, 2008, Pages 1189-1199

  Wang, Peng ^a   Ji, Qiang ^b  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

Collaborative tracking; Generic face model; Mixture of probabilistic principal component analysis (MPPCA); Multiview face tracking; Online learning

Indexed keywords

FACE RECOGNITION; FINANCIAL DATA PROCESSING; INTERNET;

APPEARANCE CHANGES; APPEARANCE MODELING; BAYESIAN; COLLABORATIVE TRACKING; FACE CLASS; FACE MODELING; FACE TRACKING; GENERIC FACE MODEL; GENERIC FACE MODELS; MIXTURE OF PROBABILISTIC PRINCIPAL COMPONENT ANALYSIS (MPPCA); MULTI VIEWS; MULTIPLE VIEWS; MULTIVIEW FACE TRACKING; ONLINE EM; ONLINE LEARNING; PROBABILISTIC PRINCIPAL COMPONENT ANALYSIS;

PRINCIPAL COMPONENT ANALYSIS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; FACE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MOVEMENT (PHYSIOLOGY); PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

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

EID: 45949094205     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2008.924287     Document Type: Article

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