1. A method for modeling a background of a video image, the method comprising: generating, by a processor, a combined covariance matrix from covariances for colors of the video image and an optical flow of the input image; estimating, by the processor, a probability density from performing a kernel density estimation on the combined covariance matrix; and updating, by the processor, the background model using the estimated probability density.