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Volumn , Issue , 2014, Pages 184-188

Recovery of motion patterns and dominant paths in videos of crowded scenes

Author keywords

Affine motion; crowd motion analysis; motion classification; path recovery

Indexed keywords

BEHAVIORAL RESEARCH; IMAGE PROCESSING; RECOVERY; TIME AND MOTION STUDY;

EID: 84949929444     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2014.7025036     Document Type: Conference Paper
Times cited : (4)

References (17)
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    • Cong, Y.1    Yuan, J.2    Liu, J.3
  • 4
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    • Simultaneous motion detection and background reconstruction with a mixed-state conditional Markov random field
    • T. Crivelli, P. Bouthemy, B. Cernuschi-Frias, and J.-F. Yao. Simultaneous motion detection and background reconstruction with a mixed-state conditional Markov random field. Int. J. Computer Vision, 94(3):295-316, 2011.
    • (2011) Int. J. Computer Vision , vol.94 , Issue.3 , pp. 295-316
    • Crivelli, T.1    Bouthemy, P.2    Cernuschi-Frias, B.3    Yao, J.-F.4
  • 5
    • 0021454284 scopus 로고
    • Summed-area tables for texture mapping
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    • F. C. Crow. Summed-area tables for texture mapping. ACM SIGGRAPH Computer Graphics, 18(3):207-212, July 1984.
    • (1984) ACM SIGGRAPH Computer Graphics , vol.18 , Issue.3 , pp. 207-212
    • Crow, F.C.1
  • 8
    • 70450169881 scopus 로고    scopus 로고
    • Observe locally, infer globally: A space-time MRF for detecting abnormal activities with incremental update
    • Miami, June
    • J. Kim and K. Grauman. Observe locally, infer globally: A space-time MRF for detecting abnormal activities with incremental update. Proc. IEEE Conf. Computer Vision and Pattern Recognition, CVPR'09, Miami, June 2009.
    • (2009) Proc. IEEE Conf. Computer Vision and Pattern Recognition, CVPR'09
    • Kim, J.1    Grauman, K.2
  • 12
    • 84865331574 scopus 로고    scopus 로고
    • Identifying behaviors in crowded scenes using stability analysis for dynamical systems
    • B. Solmaz, B. E. Moore, and M. Shah. Identifying behaviors in crowded scenes using stability analysis for dynamical systems. IEEE Trans. Pattern Analysis and Machine Intelligence, 34(10):1-8, 2012.
    • (2012) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.34 , Issue.10 , pp. 1-8
    • Solmaz, B.1    Moore, B.E.2    Shah, M.3
  • 13
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    • Trajectory analysis and semantic region modeling using nonparametric hierarchical Bayesian models
    • X. Wang, K. T. Ma, G. Ng, and W. E. L. Grimson. Trajectory analysis and semantic region modeling using nonparametric hierarchical Bayesian models. Int. J. Computer Vision, 95(3):287-312, 2011.
    • (2011) Int. J. Computer Vision , vol.95 , Issue.3 , pp. 287-312
    • Wang, X.1    Ma, K.T.2    Ng, G.3    Grimson, W.E.L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.