计算机工程与科学2017，Vol.39Issue(8)：1465-1470,6.DOI:10.3969/j.issn.1007-130X.2017.08.012
基于光流计算的异常拥挤行为检测算法
Abnormal crowd behavior detection based on optical flow computation
邹铮 1闫玮 1谢剑斌 1刘通 1李沛秦1
作者信息
- 1. 国防科技大学电子科学与工程学院,湖南长沙410073
- 折叠
摘要
Abstract
We propose a detection method based on optical flow to detect the abnormal crowded behavior in a crowd scene.In this method,the motion characteristics of the crowd are extracted by using the optical flow vector field.Then the interaction force between the particles is calculated based on the social force model.Finally,we implement histogram entropy discrimination process on the interaction force to achieve the discrimination of crowd behavior.Simulation results show that the algorithm can distinguish the size of the interaction force in abnormal regions in the crowd scene,identify and locate the abnormal congestion.关键词
光流计算/拥挤行为/社会力模型/直方图统计/熵Key words
optical flow computation/crowd behavior/social-force model/histogram statistics/entropy分类
信息技术与安全科学引用本文复制引用
邹铮,闫玮,谢剑斌,刘通,李沛秦..基于光流计算的异常拥挤行为检测算法[J].计算机工程与科学,2017,39(8):1465-1470,6.
