[1] [1] KERANER J K, THOMPSON W B, BOLEY D L. Optical flow estimation: an error analysis of gradient-based methods with local optimization［J］.IEEE Transaction on Patten and Analysis Machine Intelligence, 1987, 9(2): 229-244.

[2] [2] BRUTZER S, HOFERLIN B, HEIDEMANN G. Evaluation of background subtraction techniques for video surveillance［C］. Computer Vision and Pattern Recognition, 2011: 1937-1944.

[3] [3] BOUWMANS T. Recent advanced statistical background modeling for foreground detection: a systematic survey［J］. Recent Patents on Computer Science, 2011, 4(3): 146-176.

[4] [4] ZHU J J, GUO B L. Moving object detection based on variant block difference in complex scenes ［J］. Opt. Precision Eng., 2011, 19(1): 184-191.(in Chinese)

[5] [5] LI G, ZENG R L, LIN L, et al.. A novel background modeling method based on color grade of different frames ［J］. Opt.Precision Eng., 2007, 15(8): 1258-1262.(in Chinese)

[6] [6] ZHANG H Y, HU ZH. Moving object detection in combination of CenSurE and spatial-temporal information ［J］. Opt. Precision Eng., 2013, 21(9): 2453-2463. (in Chinese)

[7] [7] STAUFFER C, GRIMSON W E L. Learning patterns of activity using real-time tracking ［J］. IEEE Transaction on Pattern Analysis and Machine Intelligence, 2000, 22(8): 747-757.

[8] [8] ZIVKOVIC Z, VAN D H F. Efficient adaptive density estimation per image pixel for the task of background subtraction ［J］. Pattern Recognition Letters, 2006: 773-780.

[9] [9] WREN C R, AZARBAYEJANI A, DARRELL T, et al.. Pfinder: Real-time tracking of the human body ［J］. IEEE Transaction on Pattern Analysis and Machine Intelligence, 1997, 19(7): 780-785.

[10] [10] MADDALENA L, PETROSINO A. A self-organizing approach to background subtraction for visual surveillance applications ［J］. IEEE Transactions on Image Processing, 2008, 17(7): 1168-1177.

[11] [11] MADDALENA L, PETROSINO A. A fuzzy spatial coherence-based approach to background/foreground separation for moving object detection［J］. Neural Computer Application, 2010, 19(2): 179-186.

[12] [12] MADDALENA L, PETROSINO A. The SOBS algorithm: what are the Limits ［C］. Computer Vision and Pattern Recognition Workshops, 2012: 21-26.

[13] [13] BARNICH O, DROOGENBROECK M V. ViBe: A universal background subtraction algorithm for video sequences ［J］. IEEE Transaction on Image Processing, 2011, 20(6): 1709-1724.

[14] [14] DROOGENBROECK M V, PAQUOT O. Background subtraction: experiments and improvements for ViBe ［C］. Computer Vision and Pattern Recognition Workshops, 2012: 32-37.

[15] [15] DING J, MA R, CHEN S. A scale-based connected coherence tree algorithm for image segmentation ［J］. IEEE Transaction on Image Process, 2008, 17(2): 204-216.