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Anomaly detection by exploiting the tracking trajectory in surveillance videos

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References

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61872024, 61472020).

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Authors and Affiliations

  1. Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China

    Zixuan Xue

  2. State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, 100191, China

    Wei Wu

Authors
  1. Zixuan Xue
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  2. Wei Wu
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Corresponding author

Correspondence to Wei Wu.

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Anomaly Detection Exploiting Tracking Trajectory in Surveillance Video

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Xue, Z., Wu, W. Anomaly detection by exploiting the tracking trajectory in surveillance videos. Sci. China Inf. Sci. 63, 154101 (2020). https://doi.org/10.1007/s11432-018-9792-8

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  • DOI: https://doi.org/10.1007/s11432-018-9792-8

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