Moving object detection algorithm of improved Gaussian mixture model
Hua Yuanle · Journal of Computer Applications · 2014
For the traditional Gaussian mixture model cannot detect complete moving object and is prone to detect the background as the foreground region,an improved algorithm was proposed for moving object detection based on Gauss mixture model. The Gaussian background model mixed with improved frame difference method for integration,distinguished the uncovered background area and moving object region,which could extract the complete moving object. To give a larger background updating rate of uncovered background area,the background exposure of regional influences was eliminated. In complex scene,it used the method of replacement by background model to improve the stability of the algorithm. The experiments prove that the improved algorithm has been greatly improved in the aspects of adaptability,accuracy,real-time,practicality and so on,and can correctly and effectively detect moving object in the situation with various complicated factors.