An Improved Codebook Model for Detecting Moving Object under Complex Dynamic Background

摘要：

Background subtraction is popular in moving object detection, but it is weak under the complex dynamic background where there are serious variations of illumination and color in the background pixels. This paper studies one of the background subtraction method, codebook, and propose an improved codebook model to resolve this problem. The novelty of the model lies in two aspects: 1) it applies HSV color space into the block-based codebook for robust codebook construction; 2) it also includes an efficient correction mechanism to update the codebook and eliminate false targets during detection. Experimental results demonstrate the proposed codebook model can detect the moving target effectively.

关键词： Moving object detection dynamic background improved codebook model HSV color space correction mechanism

作者: Xianyong Fang Biao He Bin Luo Hao Wu Hu Zhang Zhongbiao Wu

作者单位: School of Computer Science and Technology, Anhui University, Hefei, China

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 305-309

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）