Estimating the number of people in crowded scenes
Minjin Kim, Wonjun Kim, Changick Kim · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010
This paper presents a method to estimate the number of people in crowded scenes without using explicit object segmentation or tracking. The proposed method consists of three steps as follows: (1) extracting space-time interest points using eigenvalues of the local spatio-temporal gradient matrix, (2) generating crowd regions based on space-time interest points, and (3) estimating the crowd density based on the multiple regression. In experimental results, the efficiency and robustness of our proposed method are demonstrated by using PETS 2009 dataset.