National Tsing Hua University Institutional Repository:Abnormal event detection in video using N-cut clustering
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    Title: Abnormal event detection in video using N-cut clustering
    Authors: Lee, Chun-Ku
    Ho, Meng-Fen
    Wen, Wu-Sheng
    Huang, Chung-Lin
    Teacher: 黃仲陵
    Date: 2006
    Publisher: Institute of Electrical and Electronics Engineers Inc
    Relation: Intelligent Information Hiding and Multimedia Signal Processing, 2006. IIH-MSP '06. International Conference on
    Dec. 2006 Page(s):407 - 410
    Keywords: Clustering algorithms
    Feature extraction
    Matrix algebra
    Motion estimation
    Abstract: This paper introduces an unusual event detection scheme in various video scenes. The proposed method finds out the video clips that are most different from the others based on the similarity measure. Each video clip is represented by the motion magnitude and direction histograms and color histogram. Without searching key-frames, we calculate the similarity matrix by using χ2 difference or chamfer difference as the similarity measure of features in different clips. Finally, we apply n-cut clustering. Clusters with low self-similarity value are reported as unusual events.
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    Appears in Collections:[Department of Electrical Engineering] EE Conference Papers
    [Computer and Communication Research Center ] CCRC Conference Papers

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