New algorithm for detecting moving object based on adaptive background subtraction and symmetrical differencing
基于动态阈值对称差分和背景差法的运动对象检测算法

A novel algorithm for moving detection, which employed adaptive background subtraction and symmetrical differencing method, was presented. A modified selective updating model was proposed as the reliable adaptive statistical background updating method, and the background subtraction was combined with symmetrical differencing to detect moving information. This paper also presented a dynamic optimization threshold method for image. After the motion detection operation, morphologic filtering and connected region area measurement were introduced to suppress the noise and solve the background disturbance problem. Then the area filling algorithm was used to fill the small hole in the detected object, Finally the moving objects were extracted reliably, The experiment result shows that the presented algorithm run quickly and veraciously.