Moving Object Extraction Using the Improved Adaptive Gaussian Mixture Model and Shadow Detection Model

摘要

In order to overcome the shortcomings that the parameters of the adaptive Gaussian mixture model which is used for the background modeling update slowly, a new parameters learning mechanism is proposed in this paper. Then, according to the characteristics of the shadows of moving objects in HSV space, a background modeling algorithm is proposed using the improved adaptive Gaussian mixture model to extract the moving object. Simultaneously, in order to remove the shadow of the moving object, a shadow detection model is proposed in this paper. Experiments show that the shadow of moving objects can be eliminated effectively and the background modeling algorithm has good robustness.