MULTI-DISTRIBUTION MODEL FOR BACKGROUND SUBTRACTION IN LONG-TERM VIDEO SURVEILLANCE SYSTEM

[in Chinese]; [in Chinese]; [in Chinese]

[1] Toyama K, Krumm J, Brumitt B, et al. Wallfollower: principles and practice of background maintenance. Inter. Conf. on Computer Vision, 1999, Corfu, Greece, 224-261

[2] Huwer S, Niemann H. Adaptive change detection for real-time surveilliance application. 3rd IEEE Inter. Workshop on Visual Surveillance, Dublin, Ireland, July 2000, 37-45

[3] Wern C R, Azarbayejani A, Darrell T, et al. Pfinder:real-time tracking of human body. IEEE Transaction on Pattern Analysis and Machine Intelligence,1997, 19:780-785

[4] Ridder C, Munkelt O, Kirchner H. Adaptive background estimation and foreground detection using Kalman-Filtering. In: Proc. International Conf. on recent advances in mechatronics, ICRAM'95, Istanbul, Turkey, Aug. 1995:193-199

[5] Elgammal A, Harwood D, Davis L. Non-parametric model for background subtraction. ICCV Frame Rate Workshop, 1999:246-252

[6] Stauffer C, Grimson W E L. Adaptive background mixture models for real-time tracking. IEEE Conf. on CVPR.,1999:

[7] Rosin P L, Ellis T. Image difference threshold strategies and shadow detection. Proc. of the Sixth British Machine Vision Conference,1995,347-356