Aiming at the problem that the background information of mixed Gaussian background model is easily polluted and the target foreign object is incompletely detected

a foreign object intrusion detection algorithm based on improved mixed Gaussian model（GMM） is proposed.The method combines the Gaussian background model and the wavelet transform theory to detect moving target.Wavelet transform is used to eliminate the interference points generated by the background modeling process caused by equipment and noise.A pixel correction algorithm based on neighborhood averaging algorithm is proposed

and mixed Gaussian modeling is earried out

and finally back ground model is obtained.The foreign object target is detected by the difference method.Through field experiments verification

the average prospect false detection rate decreased by 57.85 % in normal outdoor track environment

and 55.02 % in the snow track environment

and 59.73 % in the indoor environment.The experimental data show that the proposed method has better target detection and better detection effect than the traditional hybrid Gaussian model.