[2] MITICHE A,WANG Y F,AGGARWAL J K.Experiments in computing optical flow with gradient-based,multi-constraint method［J］.Pattern Recognition,1987,20(2):173-179.

[3] LUCAS B D,KANADE T.An iterative image registration technique with an application to stereo vision［C］//The 7th International Joint Conference on Artificial Intelligence, 1981:674-679.

[4] WANG L,HU W M,TAN T N.A survey of visual analysis of human motion［J］.Chinese Journal of Computers, 2002,25(3):225-237.

[5] STAUFFER C,GRIMSON W E L.Adaptive background mixture models for real-time tracking［C］//Proceeding of Computer Vision and Pattern Recognition,Fort Collins, Colorado,1999:246-252.

[6] JIANG P,QIN X L.Robust foreground detection with adaptive threshold estimation［J］.Journal of Image and Graphics,2011,16(1):37-42.

[7] LIU G Y,LIU G D.Method for moving objection detection based on mixture Gaussian models［J］.Computer Engineering and Applications,2009,45(24):180-182.

[8] WREN C,AZARBAYEJANI A,DARRELL T,et al.Pfinder:real-time tracking of the human body［J］.IEEE Transactions on Pattern Analysis and Machine Intelligence,1997,19(7):780-785.

[10] ELGAMMAL A,HARWOOD D,DAVIS L S.Background and foreground modeling using nonparametric kernel density estimation for visual surveillance［J］.Proceeding of IEEE,2002,90(7):1151-1163.

[11] HEIKKILA M,PIETIKAINEN M.A texture-based method for modeling the background and detecting moving objects［J］.IEEE Transactions on Pattern Analysis and Machine Intelligence,2006,28(4):657-662.

[13] OJALA T,HARWOOD I.A comparative study of texture measure with classification based on feature distribution［J］.Pattern Recognition,1996,29(1):51-59.

[14] OJALA T,PIETIKAINEN M,MAENPAA T.Multiresolution gray-scale and rotation invariant texture classification with local binary patterns［J］.IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(7):971-987.

[15] LI B,CHEN Y M,ZHANG L.Moving objects detection method based on texture［J］.Computer Engineering and Application,2008,44(7):100-102.