Titlebook: Intelligent Video Event Analysis and Understanding; Jianguo Zhang,Ling Shao,Graeme A. Jones Book 2010 Springer-Verlag Berlin Heidelberg 20

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Book 2010ideos have been surging, and need to be efficiently processed or organized based on interest. The human visual perception system could, without difficulty, interpret and r- ognize thousands of events in videos, despite high level of video object clutters, different types of scene context, variabilit

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Gait Analysis and Human Motion Tracking,how that the use of the gait model results in more efficient tracking. This is demonstrated by improved matching and retention of features, and a reduction in execution time, when processing video sequences.

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Event Understanding of Human-Object Interaction: Object Movement Detection via Stable Changes,rson is sitting down), we employ motion history of changed regions. In addition, to classify object placement and object removal, we use multiple-layered background model, called the layered background model and edge subtraction technique. The experiment shows the system can detect objects robustly and in sufficient frame-rates.

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Real-Time Face Recognition from Surveillance Video,ctor is constructed from ratios of lengths and differences in tangents of angles, so as to be robust to changes in scale and rotations in-plane and out-of-plane. Consideration was given to improving the performance and accuracy of both the detection and recognition steps.