会议专题

Removing Shadows and Ghosts with an Improved Background Mixture Model

We describe an improved background mixture model to detect motion and remove illumination changes, shadows and ghosts. The shadows and ghosts detection processing is fused with updating background subtraction model after the frame is transformed to Hue Saturation Value (HSV) color space from Red Green Blue (RGB) color space in order to reduce the effect of illumination changes, shadows and ghosts. Compared with the traditional background mixture model, the improved method can avoid the bad effect of shadows and ghosts, and it is highly computationally cost effective.

Motion detection background model HSV color space

Zhenli Zhu Yujing He

Fire Department of Hebei Province, Shi Jiazhuang City, Hebei province, 050081 the Chinese Peoples Armed Police Force Academy, Langfang city, Hebei province, 065000

国际会议

2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

长沙

英文

2190-2193

2010-05-11(万方平台首次上网日期,不代表论文的发表时间)