A Novel Method on Moving-Objects Detection Based on Background Subtraction and Three Frames Differencing
This paper proposes a new method for movingobjects detection based on fusion of background subtraction and an improved three frames differencing. In the method, the adaptive background model is build by Gaussian model for each pixel in the image sequences, and combined with temporal differencing method to update the selective background, and simultaneously use background subtraction method to extract movement areas from the background model. Next, adopt the median filter and mathematical morphology operation to eliminate noise and the small areas of non-human motion parts. Finally obtain the complete reliable moving-objects. The experimental results show that the proposed method has high accuracy, and can meet the needs of real-time. So it can be applied in visual surveillance system effectively.
Moving-object detection Background subtraction Three frames differencing Background updating
Lian Xiaofeng Zhang Tao Liu Zaiwen
Beijing Technology and Business University, Beijing, 100048, China
国际会议
长沙
英文
252-256
2010-03-13（万方平台首次上网日期，不代表论文的发表时间）