A Modified Self-adaptive Gaussian Mixture Modeling Algorithm
Xuehua Song · Wireless Communication Technology · 2013
Vehicle identification system has significant implication for intelligent transportation systems which is also one of the foundations of other related technology.The traditional Gaussian mixture model has obvious advantages in dealing with the background disturbance,but lack of ability to adapt to the scene mutation and avoid ghost for a long time.Based on the traditional method,this paper improves the updating formula to remove the undesirable background model quickly.As the experiments show,the algorithm can significantly improve the accuracy of the Vehicle Identification and has a good self-adaptability with shadow removal algorithm under the conditions of illumination changes or camera jitter.