A biologically inspired bayesian model of visual attention for humanoid robots

Proceedings of the 2006 6th IEEE-RAS International Conference on Humanoid Robots, HUMANOIDS

Volumn , Issue , 2006, Pages 587-592

  Begum, Momotaz ^a   Mann, George K I ^a   Gosine, Raymond G ^a  

^a MEMORIAL UNIVERSITY OF NEWFOUNDLAND   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AUTONOMOUS AGENTS; BAYESIAN NETWORKS; CHLORINE COMPOUNDS; MAMMALS; ROBOTICS; ROBOTS; VISUAL COMMUNICATION;

ADAPTIVE RESONANCE THEORY; ATTENTION SYSTEM; AUTONOMOUS-AGENT; BAYES FILTERING; BAYESIAN MODELLING; BIOLOGICALLY INSPIRED; GAUSSIAN; HUMAN BEING; HUMAN EYES; HUMANOID ROBOT; HUMANOID ROBOTS; INFORMATION PROCESSING; INTERNATIONAL CONFERENCES; OBJECT OF INTEREST; PROBABILISTIC MODEL; REDUCED-COMPLEXITY; TARGET APPLICATION; VISUAL ATTENTION; VISUAL ATTENTION MODELING; VISUAL ATTENTION SYSTEMS; VISUAL INFORMATIONS;

INTELLIGENT ROBOTS;

EID: 48149112469     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICHR.2006.321333     Document Type: Conference Paper

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