Crowd Collectiveness Measure via Path Integral Descriptor
Crowd collectiveness measuring has attracted a great deal of attentions in recently years.We adopt the path integral descriptor idea to measure the collectiveness of a crowd system.A new path integral descriptor is proposed by exponent generating function to avoid parameter setting.Several good properties of the proposed path integral descriptor are demonstrated in this paper.The proposed path integral descriptor of a set is regard as the collectiveness measure of a set,which can be a moving system such as human crowd,sheep herd and so on.Self-driven particle(SDP)model and the crowd motion database are used to test the ability of the proposed method in measuring collectiveness.
Crowd collectiveness Exponent generating function Path integral
Wei-Ya Ren Guo-Hui Li Yun-Xiang Ling
Department of Management Science and Engineering,Officers College of Chinese Armed Police Force,Chen College of Information System and Management,National University of Defense Technology,Changsha 4100 Department of Management Science and Engineering,Officers College of Chinese Armed Police Force,Chen
国际会议
第七届全国模式识别学术会议(The 7th Chinese Conference on Pattern Recognition,CCPR2016)
成都
英文
211-224
2016-11-03（万方平台首次上网日期，不代表论文的发表时间）