A Motion Detection Algorithm Based on Background Subtraction and Symmetrical Differencing
He-Qin Zhou · Jisuanji fangzhen · 2005
A novel motion detection algorithm which employs adaptive background su btraction and symmetrical differencing is presented in this paper. A modified se lective updating model is proposed as the reliable adaptive background updating method, and we combine the background subtraction with symmetrical differencing to detect the motion information. After the motion detection operation, morpholo gic filtering and connected region area measurement are introduced to suppress t he noise and solve the background disturbance problem. Then the area filling alg orithm is used to fill the small hole in the detected object. Finally the moving objects are extracted reliably. The result of the experiment demonstrates that the pres ented algorithm runs quickly and veraciously.