Moving objects detection approach based on adaptive mixture Gaussian background model
Boyang Liu · Journal of Computer Applications · 2010
An adaptive approach to detect moving objects with a static camera was proposed in this paper.Based on the assumption that the probability of the same pixel covered by the same intensity of the car is the least,the initial background was established and the number of Gaussians for each pixel on-line was chosen.In order to update the Gaussians parameters,the learning rate should be updated on-line according to the relationship between the pixel and its adjacent pixels.Lastly,the moving objects were detected by background subtraction.Compared to the moving objects detection approach based on conventional mixture Gaussian model,this approach has preferable adaptive performance,and can deal with changes in scenes rapidly.