Improved algorithm of Gaussian mixture model for background subtraction
Ling Wang · Computer Engineering and Applications Journal · 2010
An algorithm for moving objects detection based on Gaussian mixture model and three-frame differencing is proposed to make up the deficiency of the background subtraction method based on mixture model of Gaussian.First,for improving the sensitivity,the three-frame differencing is used to rapidly detect the possible moving objects.Second,a threshold is used to judge if the moving objects exist that can ease the complexity of the calculations.Third,in order to increase the convergence speed,the model sets different update rate between moving objects area and background area.The experimental results indicate that the proposed method possesses faster processing speed and better effect.It can be used in real-time video surveillance system.