基于改进surendra背景更新算法的运动目标检测算法

提出了一种改进的surendra运动目标检测算法，该算法可以自适应的调整背景更新速度。首先将第一帧图像作为背景图像，并利用改进的surendra背景更新算法根据每帧图像对背景图像进行更新获得可靠的背景。然后，将当前帧与背号作差，得到差值图像。使用自适应阈值对差值图像进行二值化处理，并利用形态学滤波对二值图像进行适当处理，这样运动目标就被准确地提取出来。

Moving Object Detection Based on Ameliorative Surendra Background Update Arithmetic

Detecting the moving objects from a video sequence is a fundamental and critical task in intelligent video surveillance system. This paper proposes an ameliorative Surendra background update arithmetic, which could automatically change update rate. Firstly, the initial stationary background is established by using the first frame of picture and using the ameliorative Surendra background update arithmetic updating the initial background. And the difference image is obtained by background subtraction. Then, the binary processing of difference image is carried by using adaptive threshold, and the moving object is obtained by morphological processing.