메뉴 건너뛰기




Volumn , Issue , 2008, Pages

Human action recognition with line and flow histograms

Author keywords

[No Author keywords available]

Indexed keywords

GRAPHIC METHODS; OPTICAL FLOWS;

EID: 77957934489     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icpr.2008.4761434     Document Type: Conference Paper
Times cited : (46)

References (18)
  • 2
    • 0035279879 scopus 로고    scopus 로고
    • The recognition of human movement using temporal templates
    • A. Bobick and J. Davis. The recognition of human movement using temporal templates. PAMI, 23(3):257-267, 2001.
    • (2001) PAMI , vol.23 , Issue.3 , pp. 257-267
    • Bobick, A.1    Davis, J.2
  • 3
    • 0030685285 scopus 로고    scopus 로고
    • Coupled hidden markov models for complex action recognition
    • M. Brand, N. Oliver, and A. Pentland. Coupled hidden markov models for complex action recognition. In CVPR, pages 994-999, 1997.
    • (1997) CVPR , pp. 994-999
    • Brand, M.1    Oliver, N.2    Pentland, A.3
  • 4
    • 33846622081 scopus 로고    scopus 로고
    • Behavior recognition via sparse spatio-temporal features
    • October
    • P. Dolĺar, V. Rabaud, G. Cottrell, and S. Belongie. Behavior recognition via sparse spatio-temporal features. In VSPETS, October 2005.
    • (2005) VSPETS
    • Dolĺar, P.1    Rabaud, V.2    Cottrell, G.3    Belongie, S.4
  • 5
  • 6
    • 0032804927 scopus 로고    scopus 로고
    • The visual analysis of human movement: A survey
    • D. M. Gavrila. The visual analysis of human movement: A survey. CVIU, 73(1):82-98, 1999.
    • (1999) CVIU , vol.73 , Issue.1 , pp. 82-98
    • Gavrila, D.M.1
  • 7
    • 4944221737 scopus 로고    scopus 로고
    • Video-based event recognition: Activity representation and probabilistic recognition methods
    • November
    • S. Hongeng, R. Nevatia, and F. Bremond. Video-based event recognition: activity representation and probabilistic recognition methods. CVIU, 96(2):129-162, November 2004.
    • (2004) CVIU , vol.96 , Issue.2 , pp. 129-162
    • Hongeng, S.1    Nevatia, R.2    Bremond., F.3
  • 8
    • 38149111348 scopus 로고    scopus 로고
    • Human action recognition using distribution of oriented rectangular patches
    • N. Ikizler and P. Duygulu. Human action recognition using distribution of oriented rectangular patches. In Human Motion Workshop LNCS 4814, pages 271-284, 2007.
    • (2007) Human Motion Workshop LNCS , vol.4814 , pp. 271-284
    • Ikizler, N.1    Duygulu, P.2
  • 9
    • 34948857983 scopus 로고    scopus 로고
    • Searching video for complex activities with finite state models
    • June
    • N. Ikizler and D. Forsyth. Searching video for complex activities with finite state models. CVPR, June 2007.
    • (2007) CVPR
    • Ikizler, N.1    Forsyth, D.2
  • 10
    • 50649099025 scopus 로고    scopus 로고
    • A biologically inspired system for action recognition
    • H. Jhuang, T. Serre, L. Wolf, and T. Poggio. A biologically inspired system for action recognition. In ICCV, 2007.
    • (2007) ICCV
    • Jhuang, H.1    Serre, T.2    Wolf, L.3    Poggio, T.4
  • 12
    • 0344551869 scopus 로고    scopus 로고
    • Space-time interest points
    • I. Laptev and T. Lindeberg. Space-time interest points. In ICCV, page 432, 2003.
    • (2003) ICCV , pp. 432
    • Laptev, I.1    Lindeberg, T.2
  • 13
    • 3042525106 scopus 로고    scopus 로고
    • Learning to detect natural image boundaries using local brightness, color and texture cues
    • D. Martin, C. Fowlkes, and J. Malik. Learning to detect natural image boundaries using local brightness, color and texture cues. PAMI, 26, 2004.
    • (2004) PAMI , vol.26
    • Martin, D.1    Fowlkes, C.2    Malik, J.3
  • 14
    • 84898026340 scopus 로고    scopus 로고
    • Unsupervised learning of human action categories using spatial-temporal words
    • J. C. Niebles, H. Wang, and L. Fei-Fei. Unsupervised learning of human action categories using spatial-temporal words. In BMVC, 2006.
    • (2006) BMVC
    • Niebles, J.C.1    Wang, H.2    Fei-Fei, L.3
  • 15
    • 0027882051 scopus 로고
    • Detecting activities
    • R. Polana and R. Nelson. Detecting activities. In CVPR, pages 2-7, 1993.
    • (1993) CVPR , pp. 2-7
    • Polana, R.1    Nelson, R.2
  • 16
    • 10044233701 scopus 로고    scopus 로고
    • Recognizing human actions: A local svm approach
    • Washington, DC, USA, IEEE Computer Society
    • C. Schuldt, I. Laptev, and B. Caputo. Recognizing human actions: A local svm approach. In ICPR, pages 32-36, Washington, DC, USA, 2004. IEEE Computer Society.
    • (2004) ICPR , pp. 32-36
    • Schuldt, C.1    Laptev, I.2    Caputo, B.3
  • 17
    • 33745893539 scopus 로고    scopus 로고
    • Conditional random fields for contextual human motion recognition
    • C. Sminchisescu, A. Kanaujia, Z. Li, and D. Metaxas. Conditional random fields for contextual human motion recognition. In ICCV, pages 1808-1815, 2005.
    • (2005) ICCV , pp. 1808-1815
    • Sminchisescu, C.1    Kanaujia, A.2    Li, Z.3    Metaxas, D.4
  • 18
    • 34948849750 scopus 로고    scopus 로고
    • Learning motion categories using both semantic and structural information
    • June
    • S.-F. Wong, T.-K. Kim, and R. Cipolla. Learning motion categories using both semantic and structural information. CVPR, June 2007.
    • (2007) CVPR
    • Wong, S.-F.1    Kim, T.-K.2    Cipolla, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.