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. [Conference or Workshop Item]
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15929:186133
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PID4859177.pdf - Accepted Version
Available under License All rights reserved.
PID4859177.pdf - Accepted Version
Available under License All rights reserved.
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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.
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