Learning to recognize daily actions using gaze

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7572 LNCS, Issue PART 1, 2012, Pages 314-327

  Fathi, Alireza ^a   Li, Yin ^a   Rehg, James M ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION RECOGNITION; DAILY ACTIVITY; DATA SETS; EYE-HAND COORDINATION; GAZE BEHAVIOR; GAZE POINT; GENERATIVE MODEL; INFERENCE METHODS; INPUT SEQUENCE; PREDICTION ACCURACY; SCENE OBJECT; SPATIO-TEMPORAL RELATIONSHIPS; STATE-OF-THE-ART METHODS; VISUAL FEATURE;

BEHAVIORAL RESEARCH; FORECASTING;

COMPUTER VISION;

EID: 84867855564     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33718-5_23     Document Type: Conference Paper

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