Motion detection with uniform mixture model
Houqiang Li · 2007
In this paper a novel approach for real-time motion detection is presented,which is called motion detection with uniform mixture model.In this approach,each pixel is modeled by a mixture of uniforms.The uniform distributions are then updated with adaptive learning rate.The model is simple and utility,and the learning rate is adaptive with different environments which are the salient characteristics of this approach.Experiments show this method is more robust and accurate than the Gaussian mixture model,which is the common approach for real-time motion detection at present.