Current Status and Development Trend of Crowd Counting

Abstract

As a challenging task, crowd counting has attracted the attention of researchers due to its wide application in the fields of smart video surveillance, smart city construction, and public safety. But at the same time, the impact of many factors, including occlusion, scale changes, and perspective distortion, on task accuracy is still a problem that needs to be solved urgently. On the basis of combing and summarizing the relevant literature, the mainstream population counting methods are reviewed to lay the foundation for more in-depth research in the future. Firstly, it analyzes the research background, current situation and development trend of crowd counting method as a whole. Secondly, the traditional counting method is summarized with the three angles of detection, regression and density estimation as the starting point. Then, it focuses on the crowd counting method based on CNN. Once again, a brief introduction to commonly used counting data sets is given, and Ground Truth generation methods and mainstream evaluation indicators are explained. Finally, based on a series of analyses, the main characteristics and development prospects of population counting are summarized.