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Wavelet-based Texture Model for Crowd Dynamic Analysis

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).

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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
Additional Information: “© © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”
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
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: 28 Aug 2021 15:31


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