Simultaneous background/foreground segmentation and contour smoothing with level set based partial differential equation for intelligent surveillance systems over network

Suk Ho Lee, Nam Seok Choi, Moon Gi Kang

Research output: Contribution to journalArticle

2 Citations (Scopus)

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 minimization 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.

Original languageEnglish
Pages (from-to)390-404
Number of pages15
JournalInternational Journal of Web and Grid Services
Volume5
Issue number4
DOIs
Publication statusPublished - 2009 Dec 1

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Computer vision
Partial differential equations

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications

Cite this

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