Title: Simultaneous background/foreground segmentation and contour smoothing with level set based partial differential equation for intelligent surveillance systems over network
Authors: Suk-ho Lee, Nam-seok Choi, Moon Gi Kang
Addresses: Department of Multimedia Engineering, Dongseo University, San 69-1, Churye-2-Dong, Sasang-gu, Busan 617-716, Korea. ' Department of Multimedia Engineering, Dongseo University, San 69 1, Churye-2-Dong, Sasang-gu, Busan 617-716, Korea. ' Department of Electric and Electronic Engineering, Yonsei University, 134 Shinchon-dong, Seodaemun-gu, Seoul 120-749, Korea
Abstract: In this paper, we propose for intelligent surveillance systems over the network, an automatic motion detection computer vision technique that uses a level set based energy functional, the minimisation of which results in simultaneous background modelling, foreground segmentation, and contour smoothing. The simultaneous dealing of background modelling and foreground segmentation has the effect that the two processes constrain each other positively, such that a good estimate of the background can be obtained with a small number of frames, and a temporal change in the scene is reflected quickly in the construction of the background image.
Keywords: intelligent surveillance systems; motion detection; level set; background modelling; foreground segmentation; contour smoothing; partial differential equations; PDE; computer vision; visual detection; surveillance networks.
International Journal of Web and Grid Services, 2009 Vol.5 No.4, pp.390 - 404
Available online: 13 Dec 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article