Real-time estimation of human visual attention with dynamic Bayesian network and MCMC-based particle filter

Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009

Volumn , Issue , 2009, Pages 250-257

  Miyazato, Kouji ^b   Kimura, Akisato ^a   Takagi, Shigeru ^b   Yamato, Junji ^a  

^a NTT Communication Science Laboratories   (Japan)

^b OKINAWA NATIONAL COLLEGE OF TECHNOLOGY   (Japan)

Author keywords

Dynamic Bayesian network; Markov chain Monte Carlo (MCMC); Particle filter; Saliency based human visual attention; Stream processing

Indexed keywords

DYNAMIC BAYESIAN NETWORK; MARKOV CHAIN MONTE-CARLO (MCMC); PARTICLE FILTER; SALIENCY-BASED HUMAN VISUAL ATTENTION; STREAM PROCESSING;

AIR FILTERS; DISTRIBUTED PARAMETER NETWORKS; ESTIMATION; INFERENCE ENGINES; INTELLIGENT NETWORKS; MARKOV PROCESSES; MONTE CARLO METHODS; MULTIMEDIA SYSTEMS; NONLINEAR FILTERING; SECURITY OF DATA; SIGNAL DETECTION; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

BAYESIAN NETWORKS;

EID: 70449565649     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2009.5202483     Document Type: Conference Paper

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