The mixture of Gaussian method (GMM) proposed by Stauffer et al and its improved versions achieve better performance and have been widely used in smart vision systems. Traditionally

GMM only uses a single color visual feature to model scenes

but it will fail when moving objects have the same color appearance with scenes’ color appearance.In addition

traditional GMM can’t effectively solve problems caused by lighting changes and especially lighting sudden changes. To overcome these weaknesses

in this paper

a new modeling method based on multi-category visual features (i.e. color

texture and edge) is proposed. Experiment results show that our new method solves the above problems effectively

which will be a baseline for high-level vision analysis.