Estimating the number of people in crowded scenes

Minjin Kim; Wonjun Kim; Changick Kim

doi:10.1117/12.872493

31 January 2011 Estimating the number of people in crowded scenes

Minjin Kim, Wonjun Kim, Changick Kim

Proceedings Volume 7882, Visual Information Processing and Communication II; 78820L (2011) https://doi.org/10.1117/12.872493
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

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.

Citation Download Citation

Minjin Kim, Wonjun Kim, and Changick Kim "Estimating the number of people in crowded scenes", Proc. SPIE 7882, Visual Information Processing and Communication II, 78820L (31 January 2011); https://doi.org/10.1117/12.872493

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