A Moving Object Detection and Tracking Method Based on Adaptive Background Image
Chen Wang-dab · Journal of Naval Aeronautical and Astronautical University · 2012
The method based on background image difference is commonly used for real-time detection of moving object.However,no reasonable method has been designed for automatic background updating along with the illumination variance,which limits its applications.To overcome the problem,a new self-adaptive background updating algorithm was first presented in this paper,and then self-adaptive threshold segmentation of moving objects was implemented using the Otsu method,and moving objects were detected by the binary connected component analysis using the morphological method,and Kalman filtering was used for objects tracking.Experimental results demonstrated that the proposed method could detect and track moving objects exactly and quickly along with the variance of illumination.