An Improved Gravitational Edge Detection Approach for Crowd Density Estimation

摘要：

To estimate high dense crowd density, an improved gravitational edge detection approach is proposed. First, the background noises are removed from original images. Second, the gravitational edge detection method is applied to obtain the gray edge image, and based on the histogram, the binary edge image can be got automatically. Finally, the length of edge and the number of grid in the edge image are utilized for crowd density estimation. Compared to other estimation methods, the proposed approach is better at dealing with highly crowded objects, which contains much overlaps. Experimental results show, it averagely takes 1.9s to handle 1s original video.

关键词： Crowd Density Estimation Edge Detection Feature Extraction

作者: Cui Shiyao Nianqiang Li Wei Zhang Lejuan

作者单位: 1University of Jinan, Jinan, Shandong, 250022, China Shandong University, Jinan, Shandong, 250100, China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

会议地点: 三亚

会议语种:英文

页码: 631-634

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）