On efficient use of multi-view data for activity recognition

ICDSC - 4th ACM/IEEE International Conference on Distributed Smart Cameras

Volumn , Issue , 2010, Pages 158-165

  Määttä, Tommi ^a   Härmä, Aki ^b   Aghajan, Hamid ^c  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b PHILIPS RESEARCH LABORATORIES   (Netherlands)

^c STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY RECOGNITION; ANNOTATED DATASETS; CAMERA PLACEMENT; DATA SETS; FUSION METHODS; FUSION OF FEATURES; HUMAN ACTIVITIES; HUMAN ACTIVITY RECOGNITION; IMAGE FEATURES; MULTI-VIEWS; SELECTION CRITERIA; SELECTION METHODS; SILHOUETTE IMAGES; SMART CAMERA NETWORKS; TEMPORAL MODELING; VIEW SELECTION;

BINARY TREES; CAMERAS;

FEATURE EXTRACTION;

EID: 78649543234     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1865987.1866012     Document Type: Conference Paper

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