Abstract
With the large-scale activities increasing gradually, the intelligent video surveillance system becomes more and more popular and important. The trajectory identification and behavior analysis are very important techniques for the intelligent video surveillance system. This paper focuses on the trajectory identification and behavior analysis framework for video surveillance system. The framework is implemented on footbridge video and queuing video of Shanghai World Expo 2010 video surveillance system. The experimental results show the efficiency of our proposed framework.
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Hu, Y., Xie, R., Zhang, W. (2013). Network Flow Based Collective Behavior Analysis. In: Cao, L., et al. Behavior and Social Computing. BSIC BSI 2013 2013. Lecture Notes in Computer Science(), vol 8178. Springer, Cham. https://doi.org/10.1007/978-3-319-04048-6_2
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DOI: https://doi.org/10.1007/978-3-319-04048-6_2
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04047-9
Online ISBN: 978-3-319-04048-6
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