An Improved Method for Moving Human Detection
Xiaoyi Wang · Jisuanji fangzhen · 2011
Moving-objects detection has long been studied as an important research subject in computer-vision field.But the detecting result is always influenced by the changes of background scene,illumination and so on.In this paper,a new method of moving human detection based on fusion of background subtraction and temporal differencing is proposed through analyzing traditional methods.The method constructs the auto-adapted background model by Gauss,and adapts temporal difference to update the background,using background subtraction method to extract movement areas from the background model.Then the new method integrates the two foreground regions for object identification,obtaining the complete reliable moving target finally.The experimental results confirm that targets can be detected accurately and the approach adopted is very feasible.