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WANG, Jing, XU, Zhijie, CAO, Yanlong and YUANPING, Xu (2017). Wavelet-based Texture Model for Crowd Dynamic Analysis. In: 23rd International Conference on Automation & Computing, Huddersfield, 7-8 September 2017.
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Abstract
Crowd event detection techniques aim at solving real-world surveillance problems, such as detecting crowd anomaly and tracking specific person in a highly dynamic crowd scene. In this paper, we proposed an innovate texture-based analysis method to model crowd dynamics and us it to distinguish the crowd behaviours. To describe complicated crowd scenes, homogeneous random features have been deployed in the research for behavioural template matching. Experiment results have shown that the anomaly appearing in crowd scenes can be effectively and efficiently identified by using the devised methods.
| Item Type: | Conference or Workshop Item (Paper) |
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| Departments - Does NOT include content added after October 2018: | Faculty of Science, Technology and Arts > Department of Computing |
| Depositing User: | Jing Wang |
| Date Deposited: | 31 Jul 2017 14:37 |
| Last Modified: | 18 Mar 2021 16:05 |
| URI: | https://shura.shu.ac.uk/id/eprint/15929 |
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