Moving Target Detection Algorithm Based on Mixture Gaussian Model and Subtraction
This model is based on mixture Gaussian model suggested by Stauffer et al.It constructs a mixture Gaussians Model for each pixel,In sequence frames subtracting the model classify the pixels in each frame into background area and moving objection area.The model set a unique update rate in uncovered background area.our model moving objection area no longer creates new Gaussian distribution,so it can avoid classifying slow-moving objects to the background.The experimental resultal indicate that our model has preferable adaptive performance to the scene with many uncertain factors,and correspondence quickly.