Conference Proceedings

Cluster-based Crowd Movement Behavior Detection

Meng Yang, Lida Rashidi, Aravinda S Rao, Sutharshan Rajasegarar, Mohadeseh Ganji, Marimuthu Palaniswami, Christopher Leckie, M Murshed (ed.), M Paul (ed.), M Asikuzzaman (ed.), M Pickering (ed.), A Natu (ed.), A RoblesKelly (ed.), S You (ed.), L Zheng (ed.), A Rahman (ed.)

2018 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA) | IEEE | Published : 2018

Abstract

Crowd behaviour monitoring and prediction is an important research topic in video surveillance that has gained increasing attention. In this paper, we propose a novel architecture for crowd event detection, which comprises methods for object detection, clustering of various groups of objects, characterizing the movement patterns of the various groups of objects, detecting group events, and finding the change point of group events. In our proposed framework, we use clusters to represent the groups of objects/people present in the scene. We then extract the movement patterns of the various groups of objects over the video sequence to detect movement patterns. We define several crowd events and..

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