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Volumn 6553 LNCS, Issue PART 1, 2012, Pages 181-194

Retrieving actions in group contexts

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXTUAL FEATURE; CONTEXTUAL INFORMATION; DATA SETS; DESCRIPTORS; FEATURE REPRESENTATION; GROUP ACTIVITIES; MULTIPLE PEOPLE; NURSING HOMES; RANKING PROBLEMS; REAL-WORLD DATASETS; RETRIEVAL TECHNIQUES; STATE-OF-THE-ART APPROACH; SURVEILLANCE VIDEO; VIDEO RETRIEVAL;

EID: 84871159575     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-35749-7_14     Document Type: Conference Paper
Times cited : (12)

References (20)
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    • Wang, Y.1    Mori, G.2
  • 2
    • 63849117955 scopus 로고    scopus 로고
    • Unsupervised activity perception in crowded and complicated scenes using hierarchical bayesian models
    • Wang, X., Ma, X., Grimson, E.: Unsupervised activity perception in crowded and complicated scenes using hierarchical bayesian models. IEEE Trans. PAMI 31, 539-555 (2009)
    • (2009) IEEE Trans. PAMI , vol.31 , pp. 539-555
    • Wang, X.1    Ma, X.2    Grimson, E.3
  • 3
    • 85119264649 scopus 로고    scopus 로고
    • Modelling activity global temporal dependencies using time delayed probabilistic graphical model
    • Loy, C.C., Xiang, T., Gong, S.: Modelling activity global temporal dependencies using time delayed probabilistic graphical model. In: ICCV (2009)
    • (2009) ICCV
    • Loy, C.C.1    Xiang, T.2    Gong, S.3
  • 6
    • 33644522380 scopus 로고    scopus 로고
    • Beyond tracking: Modelling activity and understanding behaviour
    • Xiang, T., Gong, S.: Beyond tracking: Modelling activity and understanding behaviour. Int. Journal of Computer Vision 67, 21-51 (2006)
    • (2006) Int. Journal of Computer Vision , vol.67 , pp. 21-51
    • Xiang, T.1    Gong, S.2
  • 7
    • 70450202741 scopus 로고    scopus 로고
    • Understanding videos, constructing plots - Learning a visually grounded storyline model from annotated videos
    • Gupta, A., Srinivasan, P., Shi, J., Davis, L.S.: Understanding videos, constructing plots - learning a visually grounded storyline model from annotated videos. In: CVPR (2009)
    • (2009) CVPR
    • Gupta, A.1    Srinivasan, P.2    Shi, J.3    Davis, L.S.4
  • 9
    • 70450255364 scopus 로고    scopus 로고
    • Abnormal crowd behavior detection using social force model
    • Mehran, R., Oyama, A., Shah, M.: Abnormal crowd behavior detection using social force model. In: CVPR (2009)
    • (2009) CVPR
    • Mehran, R.1    Oyama, A.2    Shah, M.3
  • 10
    • 84860637211 scopus 로고    scopus 로고
    • What are they doing?: Collective activity classification using spatio-temporal relationship among people
    • Choi, W., Shahid, K., Savarese, S.: What are they doing?: Collective activity classification using spatio-temporal relationship among people. In: VS (2009)
    • (2009) VS
    • Choi, W.1    Shahid, K.2    Savarese, S.3
  • 11
    • 0242456822 scopus 로고    scopus 로고
    • Optimizing search engines using clickthrough data
    • Joachims, T.: Optimizing search engines using clickthrough data. In: ACM SIGKDD (2002)
    • (2002) ACM SIGKDD
    • Joachims, T.1
  • 12
    • 51949101231 scopus 로고    scopus 로고
    • A discriminatively trained, multiscale, deformable part model
    • Felzenszwalb, P., McAllester, D., Ramanan, D.: A discriminatively trained, multiscale, deformable part model. In: CVPR (2008)
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  • 13
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    • Histogram of oriented gradients for human detection
    • Dalal, N., Triggs, B.: Histogram of oriented gradients for human detection. In: CVPR (2005)
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  • 16
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    • Unsupervised learning of human action categories using spatial-temporal words
    • Niebles, J.C., Wang, H., Fei-Fei, L.: Unsupervised learning of human action categories using spatial-temporal words. In: BMVC (2006)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.