31 January 2011 Estimating the number of people in crowded scenes
Author Affiliations +
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Minjin Kim, Minjin Kim, Wonjun Kim, Wonjun Kim, Changick Kim, Changick Kim, } "Estimating the number of people in crowded scenes", Proc. SPIE 7882, Visual Information Processing and Communication II, 78820L (31 January 2011); doi: 10.1117/12.872493; https://doi.org/10.1117/12.872493
PROCEEDINGS
8 PAGES


SHARE
Back to Top