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Volumn 1, Issue , 2011, Pages 487-491

Indirect activity recognition using a target-mounted camera

Author keywords

activity recognition; feature extraction; hidden markov model; motion histogram

Indexed keywords

ACTIVITY PATTERNS; ACTIVITY RECOGNITION; CAMERA MOTIONS; CAMERA SETTINGS; COMPLEX ACTIVITY; IDENTIFICATION ALGORITHMS; IMAGE SEQUENCE; MARKOV MODEL; MOTION HISTOGRAMS; MOTION PROFILE; PHYSICAL ACTIVITY; WEARABLE DEVICES;

EID: 84862975361     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISP.2011.6099965     Document Type: Conference Paper
Times cited : (4)

References (14)
  • 4
    • 77949275097 scopus 로고    scopus 로고
    • A survey on vision-based human action recognition
    • R. Poppe, "A survey on vision-based human action recognition," Image Vision Comput., vol. 28, no. 6, 2010, pp. 976-990
    • (2010) Image Vision Comput. , vol.28 , Issue.6 , pp. 976-990
    • Poppe, R.1
  • 7
    • 70449588876 scopus 로고    scopus 로고
    • High level activity recognition usinglow resolution wearable vision
    • S. Sundaram and W. Cuevas, "High level activity recognition usinglow resolution wearable vision," In Workshop on Egocentric Vision, pp. 25-32, 2009
    • (2009) Workshop on Egocentric Vision , pp. 25-32
    • Sundaram, S.1    Cuevas, W.2
  • 8
    • 77955991434 scopus 로고    scopus 로고
    • Figure-ground segmentation improves handled object recognition in egocentric video
    • X. Ren and C. Gu. Figure-ground segmentation improves handled object recognition in egocentric video. In CVPR, pp. 3137-3144, 2010
    • (2010) CVPR , pp. 3137-3144
    • Ren, X.1    Gu, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.