Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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Anomaly Detection using Combination of Motion Features

움직임 특징 조합을 통한 이상 행동 검출

  • Jeon, Minseong (Dept. of Computer Science, Chungbuk National University) ;
  • Cheoi, Kyung Joo (Dept. of Computer Science, Chungbuk National University)
  • Received : 2018.01.12
  • Accepted : 2018.02.07
  • Published : 2018.03.31
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Abstract

The topic of anomaly detection is one of the emerging research themes in computer vision, computer interaction, video analysis and monitoring. Observers focus attention on behaviors that vary in the magnitude or direction of the motion and behave differently in rules of motion with other objects. In this paper, we use this information and propose a system that detects abnormal behavior by using simple features extracted by optical flow. Our system can be applied in real life. Experimental results show high performance in detecting abnormal behavior in various videos.

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References

  1. M.J. Roshtkhari and M.D. Levine, "Online Dominant and Anomalous Behavior Detection in Videos," Proceeding of IEEE Conference on Computer Vision and Pattern Recognition, pp. 2611-2618, 2013.
  2. T.H. Yu and Y.S. Moon, "Unsupervised Abnormal Behavior Detection for Real-Time Surveillance Using Observed History," Machine Vision Applications, Vol. 2, No. 8, pp. 76-80, 2009.
  3. O. Boiman and M. Irani, "Detecting Irregularities in Images and in Video," International Journal of Computer Vision, Vol. 74, No. 1, pp. 17-31, 2007. https://doi.org/10.1007/s11263-006-0009-9
  4. H. Zhong, J. Shi, and M. Visontai, "Detecting Unusual Activity in Video," Proceedings of the 2004 IEEE Computer Society Conference Computer Vision and Pattern Recognition, pp. 816-829, 2004.
  5. R. Hamid, A. Johnson, S. Batta, A. Bobick, C. Isbell, and G. Coleman, "Detection and Explanation of Anomalous Activities: Representing Activities as Bags of Event N-Grams," Proceeding of Computer Vision and Pattern Recognition, IEEE Computer Society Conference, Vol. 1, pp. 1031-1038, 2005.
  6. C.W. Jung, D.J. Kang, "A Recognition Algorithm of Suspicious Human Behaviors using Hidden Markov Models in an Intelligent Surveilance System." Journal of Korea Multimedia Society Vol. 11, No. 11, pp. 1491-1500, 2008.
  7. G. Farneback, "Two-Frame Motion Estimation Based on Polynomial Expansion," Proceeding of Scandinavian Conference on Image Analysis, pp. 363-370, 2003.

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  1. 객체 탐지와 행동인식을 이용한 영상내의 비정상적인 상황 탐지 네트워크 vol.24, pp.2, 2018, https://doi.org/10.9717/kmms.2020.24.2.186