메뉴 건너뛰기




Volumn , Issue , 2006, Pages 5851-5858

Fast online action recognition with boosted combinational motion features

Author keywords

[No Author keywords available]

Indexed keywords

MOTION ESTIMATION; ONLINE SYSTEMS; PARAMETER ESTIMATION; SUPPORT VECTOR MACHINES;

EID: 34250658432     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2006.282400     Document Type: Conference Paper
Times cited : (2)

References (14)
  • 1
    • 0030649239 scopus 로고    scopus 로고
    • The representation and recognition of human movement using temporal templates
    • J. Davis and A, Bobick. The representation and recognition of human movement using temporal templates. In Proc. of CVPR, pages 928-934, 1997.
    • (1997) Proc. of CVPR , pp. 928-934
    • Davis, J.1    Bobick, A.2
  • 2
    • 85060905667 scopus 로고
    • Recognizing human action in time-sequential iages using hidden Markov model
    • J. Yamato et al. Recognizing human action in time-sequential iages using hidden Markov model. In Proc. of CVPR, pages 379-385, 1992.
    • (1992) Proc. of CVPR , pp. 379-385
    • Yamato, J.1
  • 3
    • 0036450937 scopus 로고    scopus 로고
    • Human-like action recognition system using features extracted by human
    • T. Mori et al. Human-like action recognition system using features extracted by human. In Proc. of IROS, pages 1214-1220, 2002.
    • (2002) Proc. of IROS , pp. 1214-1220
    • Mori, T.1
  • 4
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • L. Rabiner. A tutorial on hidden Markov models and selected applications in speech recognition. In Proc. of the IEEE, volume 77, pages 257-285, 1989.
    • (1989) Proc. of the IEEE , vol.77 , pp. 257-285
    • Rabiner, L.1
  • 6
    • 0034876648 scopus 로고    scopus 로고
    • Imitation and primitives symbol acquisition of humanoids by integrated mimesis loop
    • T. Inamura et al. Imitation and primitives symbol acquisition of humanoids by integrated mimesis loop. In Proc. of ICRA, pages 4208-4213, 2001.
    • (2001) Proc. of ICRA , pp. 4208-4213
    • Inamura, T.1
  • 7
    • 3042625140 scopus 로고    scopus 로고
    • Online motion classification using support vector machine
    • D. Cao et al. Online motion classification using support vector machine. In Proc. of ICRA, volume 3, pages 2291-2296, 2004.
    • (2004) Proc. of ICRA , vol.3 , pp. 2291-2296
    • Cao, D.1
  • 8
    • 18544389931 scopus 로고    scopus 로고
    • Recognition of actions in daily life and its performance adjustment based on support vector learning
    • T. Mori et al. Recognition of actions in daily life and its performance adjustment based on support vector learning. Intl. Journal of Humanoid Robotics, 1(4):565-583, 2004.
    • (2004) Intl. Journal of Humanoid Robotics , vol.1 , Issue.4 , pp. 565-583
    • Mori, T.1
  • 9
    • 0032645080 scopus 로고    scopus 로고
    • An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
    • E. Bauer and R. Kohavi. An empirical comparison of voting classification algorithms: bagging, boosting, and variants. Machine Learning, 36(1-2):105-139, 1999.
    • (1999) Machine Learning , vol.36 , Issue.1-2 , pp. 105-139
    • Bauer, E.1    Kohavi, R.2
  • 10
    • 85043515682 scopus 로고
    • Boosting a weak learning algorithm by majority
    • Y. Freund. Boosting a weak learning algorithm by majority. In Proc. of COLT, pages 202-216, 1990.
    • (1990) Proc. of COLT , pp. 202-216
    • Freund, Y.1
  • 11
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman. Bagging predictors. Machine Learning, 24(2): 123-140, 1996.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 12
    • 0344983340 scopus 로고    scopus 로고
    • Detecting pedestrians using patterns of motion and appearance
    • P. Viola et al. Detecting pedestrians using patterns of motion and appearance. In Proc. of ICCV, volume 2, pages 734-741, 2003.
    • (2003) Proc. of ICCV , vol.2 , pp. 734-741
    • Viola, P.1
  • 13
    • 34250629837 scopus 로고    scopus 로고
    • Recognition of daily action based on automatic feature-selection using adaboost (in Japanese)
    • T.Mori et al. Recognition of daily action based on automatic feature-selection using adaboost (in Japanese). In Proc. of SICE SI 2006, pages 545-546, 2006.
    • (2006) Proc. of SICE SI 2006 , pp. 545-546
    • Mori, T.1
  • 14
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for suppurt vector machines
    • O.Chapelle et al. Choosing multiple parameters for suppurt vector machines, Machine Learning, 46(1):131-159, 2002.
    • (2002) Machine Learning , vol.46 , Issue.1 , pp. 131-159
    • Chapelle, O.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.