Video Moving Object Segmentation Based on Gaussian Mixture Model
Liu Fang · 2009
An automatic and accurate video moving object segmentation algorithm was proposed which is based on the spatio-temporal property segmentation.The Gaussian Mixture Model was employed to cluster the current frame into a set of homogeneous regions based on the spacial property.Comparing with the general cluster algorithms,it could model the noise in the data set and estimate the optimal number of clusters more easily.It extracted the preliminary contour region of the moving object in the current frame based on the temporal property.The video moving object was extracted accurately by matching the homogeneous regions with the preliminary contour region.The experiment results demonstrate that the proposed algorithm is not only accurate and robust to noise,but also effective even if the movement is little.