Study on Moving Object Detection Based on RGB Color Model

摘要：

　　The traditional background difference method is based on gray image.Some information is lost when color image is transformed into gray image.So it is difficult to discriminate different colors with similar gray values and easily disturbed by noise and shadows.In this paper,the background difference is based on RGB color model.It is proposed to use the average value of each pixel of the color image sequences to extract the background,and then use the three-dimensional color values of the current frame and background image to compute the difference to detect the moving objects.The proposed approach is simple and easy to implement.The experimental results show that it is more sensitive to colors and has higher accuracy and robustness than the traditional background difference method.Besides,it is more resistant to shadows.

关键词： background extraction RGB color space background difference space distance

作者: Liu Chun-yang Hou Dao-zheng Liu Chang-an

作者单位: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, C School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, C

会议类型: 国际会议

会议名称: 2nd International Conference on Polymer Composities and Polymer Testing (2013第二届高分子复合材料与高分子测试国际会议暨先进工业技术与方案国际会议)(ISPCPT2013)

会议地点: 太原

会议语种:英文

页码: 471-474

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）