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Wang, Jing, Xu, Zhijie, Cao, Yanlong and Xu, Yuanping (2017) Wavelet-based Texture Model for Crowd Dynamic Analysis. Proceedings of the 23rd International Conference on Automation and Computing, (University of Huddersfield, 7-8 September 2017). (In Press)
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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: | Article | ||||||||||||||||||||
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| Uncontrolled Keywords: | Component; Crowd dynamics; Texture model; Spatio-temporal volume | ||||||||||||||||||||
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
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| Schools: | School of Computing and Engineering > High-Performance Intelligent Computing > Visualisation, Interaction and Vision | ||||||||||||||||||||
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| Depositing User: | Zhijie Xu | ||||||||||||||||||||
| Date Deposited: | 10 Oct 2017 08:40 | ||||||||||||||||||||
| Last Modified: | 12 Oct 2017 05:18 | ||||||||||||||||||||
| URI: | http://eprints.hud.ac.uk/id/eprint/33567 |
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