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Volumn , Issue , 2009, Pages 3553-3556

An efficient Bayesian framework for on-line action recognition

Author keywords

HMM; On line action recognition

Indexed keywords

BAYESIAN NETWORKS; IMAGING SYSTEMS;

EID: 77951940047     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2009.5414340     Document Type: Conference Paper
Times cited : (20)

References (10)
  • 3
    • 33750537020 scopus 로고    scopus 로고
    • Hmm-based segmentation and recognition of human activities from video sequences
    • July
    • F. Niu and M. Abdel-Mottaleb, "Hmm-based segmentation and recognition of human activities from video sequences," IEEE Int'l Conf. on Multimedia and Expo, pp. 804-807, July 2005.
    • (2005) IEEE Int'l Conf. on Multimedia and Expo , pp. 804-807
    • Niu, F.1    Abdel-Mottaleb, M.2
  • 7
    • 0034245366 scopus 로고    scopus 로고
    • Recognition of visual activities and interactions by stochastic parsing
    • Aug
    • Y.A. Ivanov and A.F. Bobick, "Recognition of visual activities and interactions by stochastic parsing," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 22, no. 8, pp. 852-872, Aug 2000.
    • (2000) IEEE Trans. on Pattern Analysis and Machine Intelligence , vol.22 , Issue.8 , pp. 852-872
    • Ivanov, Y.A.1    Bobick, A.F.2
  • 8
    • 0024610919 scopus 로고    scopus 로고
    • A tutorial on hidden markov models and selected applications in speech recognition
    • L. R. Rabiner, "A tutorial on hidden markov models and selected applications in speech recognition," in Proc. of the IEEE, 1989, vol. 77, pp. 257-286.
    • Proc. of the IEEE, 1989 , vol.77 , pp. 257-286
    • Rabiner, L.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.