doi: 10.4304/jsw.9.3.757-762
An Approach for Crowd Density and Crowd Size Estimation
- 1 Institute of Software and Intelligent Technology, Hangzhou Dianzi University, Hangzhou, 310018, China
- 2 Zhejiang Provincial Engineering Center on Media Data Cloud Processing and Analysis, Hangzhou Dianzi University, Hangzhou, 310018, China
- 3 College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China
Abstract
Crowd density estimation is very important in intelligent crowd monitoring. In this paper, a new approach of crowed density estimation is proposed. This method combines the advantage of pixel statistical feature and texture analysis, and reduces the impact of perspective distortion by dividing the region of interest. Moreover, we estimate the crowd size (the range of numbers) for high density and extremely high density crowd. The experiment results show that the proposed method has a relatively high accuracy in the whole density range.
Keywords
- Region of interest
- Crowd density estima
How to Cite
Ming Jiang, Jingcheng Huang, Xingqi Wang, Jingfan Tang, and Chunming Wu, "An Approach for Crowd Density and Crowd Size Estimation," Journal of Software, vol. 9, no. 3, pp. 757-762, 2014. https://doi.org/ 10.4304/jsw.9.3.757-762
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).