Detection of salient crowd motion based on repulsive force network and direction entropy

Xuguang Zhang, Dujun Lin, Juan Zheng, Xianghong Tang, Yinfeng Fang, Hui Yu

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Abstract

This paper proposes a method for salient crowd motion detection based on direction entropy and a repulsive force network. This work focuses on how to effectively detect salient regions in crowd movement through calculating the crowd vector field and constructing the weighted network using the repulsive force. The interaction force between two particles calculated by the repulsive force formula is used to determine the relationship between these two particles. The network node strength is used as a feature parameter to construct a two-dimensional feature matrix. Furthermore, the entropy of the velocity vector direction is calculated to describe the instability of the crowd movement. Finally, the feature matrix of the repulsive force network and direction entropy are integrated together to detect the salient crowd motion. Experimental results and comparison show that the proposed method can efficiently detect the salient crowd motion.
Original languageEnglish
Article number608
JournalEntropy
Volume21
Issue number6
DOIs
Publication statusPublished - 20 Jun 2019

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