A Real-time Algorithm for Regional Crowd Counting Based on Survival Analysis Theory. Issue 2 (August 2019)

• Record Type: Journal Article
• Authors: Wang, Jun; Fu, Yongfeng; Ma, Lianhang; Yang, Xiaokang; Dong, Jiangping
• Is Part Of: Journal of physics. Volume 1302:Issue 2(2019)
• Publication Date: 2019-08
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1302/2/022027
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: This paper proposes a real-time algorithm for regional crowd counting based on survival analysis theory. Our algorithm can accurately calculate regional people flow in real time over a long period, which considers tourists' stopping time as a type of survival time, and discretizes its continuous distribution probability as a proportion of stopping people in a monitoring region. Compared to other crowd counting methods, our algorithm calculates regional population in real time using a mathematical statistical model, which greatly reduces the dependence on hardware devices. Experiments in two real scenarios verify that the average accuracy of our algorithm is over 91% in comparison with 60% of sensing devices.