Dynamic Markov random fields for stochastic modeling of visual attention

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2008, Pages

  Kimura, Akisato ^a   Pang, Derek ^a,b   Takeuchi, Tatsuto ^b   Yamato, Junji ^b   Kashino, Kunio ^b  

^a NTT Corporation   (Japan)

^b SIMON FRASER UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; BEHAVIORAL RESEARCH; EYE MOVEMENTS; IMAGE SEGMENTATION; MAGNETORHEOLOGICAL FLUIDS; MARKOV PROCESSES; PATTERN RECOGNITION; STOCHASTIC SYSTEMS; VISUALIZATION;

DETERMINISTIC MODELING; DYNAMIC BAYESIAN NETWORKS; DYNAMIC MARKOV RANDOM FIELDS; EYE MOVEMENT PATTERNS; HUMAN VISUAL ATTENTION; SPATIO-TEMPORAL RELATIONSHIPS; VISUAL ATTENTION; VISUAL SALIENCY;

STOCHASTIC MODELS;

EID: 77957929217     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icpr.2008.4761025     Document Type: Conference Paper

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