2024 Volume 80 Issue 22 Article ID: 23-22010
Counting the number of people in a crowd at an event or during a disaster is important to prevent accidents from occurring. In recent years, various methods have been developed to count the number of people using deep learning. However, it is difficult to automatically select and apply the most appropriate counting method, because video images of crowds are taken under various conditions. In this study, we focused on the differences in the trends of the detection results of head counting methods and devised a method to estimate the number of people using regression analysis. As a result of the verification, it was found that the regression analysis can reduce extreme false positives and omissions and estimate the number of people more accurately by complementing the weaknesses of each head counting method.
