• Opto-Electronic Engineering
  • Vol. 42, Issue 9, 35 (2015)
[in Chinese]*, [in Chinese], and [in Chinese]
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1003-501x.2015.09.006 Cite this Article
    [in Chinese], [in Chinese], [in Chinese]. Abnormal Behavior Detection Based on Collectiveness Feature[J]. Opto-Electronic Engineering, 2015, 42(9): 35 Copy Citation Text show less
    References

    [1] CUI Yongyan, GAO Yang. Abnormal behavior detection method based on multi-instance learning [J]. Pattern Recognition and Artificial Intelligence, 2011, 24(6): 862-868.

    [2] Jacinto Nascimento, Jorge Marques, Joao Lemos. Modeling and classifying human activities from trajectories using a class of space-varying parametric motion fields [J]. Image Processing(S1057-7149) , 2013, 22(5): 2066-2080.

    [3] Mehran R, Oyama A, Shah M. Abnormal crowd behavior detection using social force model [C]// Computer Vision and Pattern Recognition, Miami, FL, June 20-25, 2009, 7065: 935-942.

    [4] Ihaddadene N, Djeraba C. Real-time crowd motion analysis [C]// Pattern Recognition, Tampa, FL, Dec 8-11, 2008, 12: 1-4.

    [5] ZHOU Bolei, TANG Xiaoou, WANG Xiaogang. Measuring crowd collectiveness [C]// Computer Vision and Pattern Recognition, Portland, OR, June 23-28, 2013, 392: 3049-3056.

    [6] Tomasi C, Kanade T. Detection and tracking of point features [M]. Carnegie Mellon University, 1991: 91-132.

    [7] Stauffer C, Grimson W E L. Adaptive background mixture models for real-time tracking [C]// Proceeding of Computer Vision and Pattern Recognition, Fort Collins, June 23-25, 1999, 2: 246-252.

    [8] Freeman W T, Roth M. Orientation histograms for hand gesture recognition [C]// International Workshop on Automatic Face and Gesture Recognition, 1995, 12: 296-301.

    [9] Unusual crowd activity dataset of University of Minnesota [OL]. http: //mha.cs.umn.edu/movies/crowdactivity-all.avi.

    [10] DU Jianhao, XU Li. Abnormal behavior detection based on regional optical flow [J]. Journal of Zhejiang University: Engineering Science, 2011, 45(7): 1161-1166.

    [11] CONG Yang, YUAN Junsong, LIU Ji. Abnormal event detection in crowded scenes using sparse representation [J]. Pattern Recognition(S0031-3203), 2013, 46(7): 1851-1864.

    [12] Mahadevan V, LI Weixin, Bhalodia V, et al. Anomaly detection in crowded scenes [C]// Computer Vision and Pattern Recognition, San Francisco, CA, June 3-18, 2010, 5539872: 1975–1981.

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    [in Chinese], [in Chinese], [in Chinese]. Abnormal Behavior Detection Based on Collectiveness Feature[J]. Opto-Electronic Engineering, 2015, 42(9): 35
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