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Volumn 1, Issue , 2013, Pages 112-117

Action recognition by matching clustered trajectories of motion vectors

Author keywords

Clustering; Gaussian mixture modeling (GMM); Human action recognition; Longest common subsequence; Motion curves; Optical flow

Indexed keywords

CLUSTERING; GAUSSIAN MIXTURE MODELING; HUMAN-ACTION RECOGNITION; LONGEST COMMON SUBSEQUENCES; MOTION CURVE;

EID: 84878223820     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (22)
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    • Aggarwal, J. K. and Ryoo, M. S. (2011). Human activity analysis: A review. ACM Compututing Surveys, 43(3):1-43.
    • (2011) ACM Compututing Surveys , vol.43 , Issue.3 , pp. 1-43
    • Aggarwal, J.K.1    Ryoo, M.S.2
  • 12
    • 80053105598 scopus 로고    scopus 로고
    • Trajectory learning for activity understanding: Unsupervised, multilevel, and long-term adaptive approach
    • Morris, B. T. and Trivedi, M. M. (2011). Trajectory learning for activity understanding: Unsupervised, multilevel, and long-term adaptive approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(11):2287-2301.
    • (2011) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.33 , Issue.11 , pp. 2287-2301
    • Morris, B.T.1    Trivedi, M.M.2
  • 13
    • 45049084813 scopus 로고    scopus 로고
    • Unsupervised learning of human action categories using spatial-temporal words
    • Niebles, J. C., Wang, H., and Fei-Fei, L. (2008). Unsupervised learning of human action categories using spatial-temporal words. International Journal of Computer Vision, 79(3):299-318.
    • (2008) International Journal of Computer Vision , vol.79 , Issue.3 , pp. 299-318
    • Niebles, J.C.1    Wang, H.2    Fei-Fei, L.3
  • 14
    • 77949275097 scopus 로고    scopus 로고
    • A survey on vision-based human action recognition
    • Poppe, R. (2010). A survey on vision-based human action recognition. Image and Vision Computing, 28(6):976-990.
    • (2010) Image and Vision Computing , vol.28 , Issue.6 , pp. 976-990
    • Poppe, R.1
  • 20
    • 79957467077 scopus 로고    scopus 로고
    • Hidden part models for human action recognition: Probabilistic versus max margin
    • Wang, Y. and Mori, G. (2011). Hidden part models for human action recognition: Probabilistic versus max margin. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(7):1310-1323.
    • (2011) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.33 , Issue.7 , pp. 1310-1323
    • Wang, Y.1    Mori, G.2
  • 21
    • 84861947531 scopus 로고    scopus 로고
    • Recognizing human actions using a new descriptor based on spatial-temporal interest points and weighted-output classifier
    • Yan, X. and Luo, Y. (2012). Recognizing human actions using a new descriptor based on spatial-temporal interest points and weighted-output classifier. Neurocomputing, 87:51-61.
    • (2012) Neurocomputing , vol.87 , pp. 51-61
    • Yan, X.1    Luo, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.