A graphical simulator for modeling complex crowd behaviors

HAO, Yu, XU, Zhijie, LIU, Ying, WANG, Jing and FAN, Jiulun (2018). A graphical simulator for modeling complex crowd behaviors. In: 2018 22nd International Conference Information Visualisation. IEEE. (In Press)

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Abstract

Abnormal crowd behaviors within varied real-world settings could represent or pose serious ongoing situations public safety. However the video data needed for relevant analysis and research are often difficult to acquire due to security, privacy and data protection issues. Without large amount of realistic crowd data, it is difficult to develop and verify crowd behavioral models, corresponding event detection algorithms, and never mention the necessary test and evaluation work. This paper presented a synthetic method for generating crowd movement and dynamic data based on existing social and behavioral studies, graph and tree search algorithms and, game engine techniques. The two main outcomes of this research: 1) the categorization of entity-based Crowd Behavior Types based on a linear aggregation model; and 2) an innovative agent behavior model based on A-Star (A*) path-finding algorithm and an enhanced Social Force Model. A Spatial-Temporal Texture (STT) technique has been adopted for the evaluation of the model’s effectiveness. The experimental results have shown the visual and behavioral pattern similarities of the simulated crowd scenes against their real-world recordings.

Item Type: Book Section
Additional Information: 22nd International Conference Information Visualisation, 10-13 July, 2018 Salerno, Italy. ISSN: 2375-0138
Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
Depositing User: Jing Wang
Date Deposited: 23 Aug 2018 09:41
Last Modified: 16 Nov 2018 13:54
URI: http://shura.shu.ac.uk/id/eprint/18880

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