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Volumn , Issue , 2011, Pages 297-304

Vision-based contingency detection

Author keywords

Contingency detection; Human robot interaction; Response detection

Indexed keywords

CONTINGENCY DETECTION; DIRECT RESPONSE; HUMAN ROBOTS; NOVEL METHODS; RESPONSE DETECTION; ROBOT ACTIONS; SELF-SIMILARITIES; SIGNAL SEQUENCE; SPECIFIC TIME; VISION BASED; VISUAL DETECTION;

EID: 79953159156     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1957656.1957780     Document Type: Conference Paper
Times cited : (22)

References (20)
  • 4
    • 33745616789 scopus 로고    scopus 로고
    • Learning acceptable windows of contingency
    • June
    • K. Gold and B. Scassellati. "Learning acceptable windows of contingency", Connection Science, Vol. 18(2), p. 217-228, June 2006.
    • (2006) Connection Science , vol.18 , Issue.2 , pp. 217-228
    • Gold, K.1    Scassellati, B.2
  • 6
    • 77955688303 scopus 로고    scopus 로고
    • Reproducing interaction contingency toward open-ended development of social actions: Case study on joint attention
    • H. Sumioka, Y. Yoshikawa, and M. Asada, "Reproducing Interaction Contingency Toward Open-Ended Development of Social Actions: Case Study on Joint Attention", IEEE Transactions on Autonomous Mental Development, 2010.
    • (2010) IEEE Transactions on Autonomous Mental Development
    • Sumioka, H.1    Yoshikawa, Y.2    Asada, M.3
  • 8
    • 77949381796 scopus 로고    scopus 로고
    • Which ostensive stimuli can be used for a robot to detect and maintain tutoring situations?
    • K. Lohan, A. Vollmer, J. Pritsch, K. Rohlfing, B. Wrede, "Which ostensive stimuli can be used for a robot to detect and maintain tutoring situations?", ACII Workshop, 2009.
    • (2009) ACII Workshop
    • Lohan, K.1    Vollmer, A.2    Pritsch, J.3    Rohlfing, K.4    Wrede, B.5
  • 16
    • 84856685495 scopus 로고    scopus 로고
    • Unsupervised abnormal behavior detection for real-time surveillance using observed history
    • T. Yu, and Y. Moon, "Unsupervised Abnormal Behavior Detection for Real-time Surveillance Using Observed History", IAPR Conference on Machine Vision Applications, 2009.
    • (2009) IAPR Conference on Machine Vision Applications
    • Yu, T.1    Moon, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.