Comprehensive dynamic background updating method for real-time traffic visual surveillance
Shan Huang · Journal of Computer Applications · 2007
To extract good background image from complex traffic scenes, a comprehensive dynamic background updating method was proposed. It used the information of both frame-difference and high-level object state to update the mixed Gaussian background model. It could avoid the effect of the prolonged traffic standstill on the background and eliminate the ghosts caused by the move-away of background objects. The results of experiment on the real-time traffic video show that the method is self-adaptive and robust.