Crowd Density Field Estimation Based on Crowd Dynamics Theory and Social Force Model

被引:5
|
作者
Wei Xinlei [1 ]
Du Junping [1 ]
Liang Meiyu [1 ]
Xue Zhe [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Beijing Key Lab Intelligent Telecommun Software &, Sch Comp Sci, Beijing 100876, Peoples R China
基金
中国国家自然科学基金;
关键词
Social force model; Crowd dynamics; Crowd density field; Computer vision;
D O I
10.1049/cje.2019.03.021
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The local crowd density and the crowd distribution estimation tasks are useful but challenging. There are two main problems which limit the performance of existing algorithms. The first one is that there are not enough labeled training samples to build the high-performance estimation model. Another one is that existing methods lack the supports of physical theories of the crowd. To remedy them, a novel crowd density field model is proposed, which is deduced by jointing crowd dynamics theory and social force model. A crowd counting method based on the proposed crowd density field model is introduced to measure the proposed crowd density field model. Extensive experiments confirm the effectiveness of the proposed plan.
引用
收藏
页码:521 / 528
页数:8
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