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Volumn , Issue , 2010, Pages 430-435

A framework for whole-body gesture recognition from video feeds

Author keywords

[No Author keywords available]

Indexed keywords

AREA OF INTEREST; AUTOMATED IDENTIFICATION; CRIME INVESTIGATION; GESTURE ANALYSIS; HARDWARE AND SOFTWARE; HUMAN EXPERT; HUMAN MOTIONS; HUMAN SKILLS; IMAGE PROCESSING APPLICATIONS; IMPLEMENTATION COST; NEW APPLICATIONS; OBJECT DETECTION; RAPID GROWTH; TECHNICAL APPLICATIONS; VIDEO PROCESSING; VIDEO STREAMS; WHOLE BODY;

EID: 77958609755     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIINFS.2010.5578666     Document Type: Conference Paper
Times cited : (17)

References (13)
  • 8
    • 77958598062 scopus 로고    scopus 로고
    • [Online]. Available: Accessed: 02 Nov 2009
    • mobilEye, 2008. [Online]. Available: http://www.mobileye.com. [Accessed: 02 Nov 2009].
    • (2008) MobilEye
  • 12
    • 77958612578 scopus 로고    scopus 로고
    • A hybrid framework for modeling comprehensible human gesture
    • Proceedings of Computational Intelligence for Modeling, Control and Automation: Neural Networks and Advanced Control Strategies
    • Yanghee Nam, Daniel Thalmann, and Kwangyun Wohn, A hybrid framework for modeling comprehensible human gesture, In Proceedings of Computational Intelligence for Modeling, Control and Automation: Neural Networks and Advanced Control Strategies. (Concurrent Systems Engineering Series Vol. 54), 1999.
    • (1999) Concurrent Systems Engineering Series , vol.54
    • Nam, Y.1    Thalmann, D.2    Wohn, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.