Estimation of linear motion in dense crowd videos using Langevin model

作者：

Highlights：

• Physics based model for crowd flow analysis.

• Detection of linear motion flows using Langevin Equation-based model.

• Better segmentation accuracy than existing Crowd Flow Segmentation methods.

• Low Computational Overhead.

摘要

•Physics based model for crowd flow analysis.•Detection of linear motion flows using Langevin Equation-based model.•Better segmentation accuracy than existing Crowd Flow Segmentation methods.•Low Computational Overhead.

论文关键词：Crowd flow segmentation,Crowd dynamics,Crowd behavior,Visual surveillance,Langevin equation

论文评审过程：Received 25 February 2019, Revised 19 February 2020, Accepted 20 February 2020, Available online 21 February 2020, Version of Record 28 February 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113333