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Identifying Foreground from Multiple Images

Wonwoo Lee 1 Woo Wontack 1 Edmond Boyer 2 
2 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
Abstract : In this paper, we present a novel foreground extraction method that automatically identifies image regions corresponding to a common space region seen from multiple cameras. We assume that background regions present some color coherence in each image and we exploit the spatial consistency constraint that several image projections of the same space region must satisfy. Integrating both color and spatial consistency constraints allows to fully automatically segment foreground and background regions in multiple images. In contrast to standard background subtraction approaches, the proposed approach does not require any a priori knowledge on the background nor user interactions. We demonstrate the effectiveness of the method for multiple camera setups with experimental results on standard real data sets.
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Submitted on : Tuesday, May 3, 2011 - 9:47:36 AM
Last modification on : Thursday, May 5, 2022 - 3:11:27 AM
Long-term archiving on: : Thursday, August 4, 2011 - 3:07:29 AM


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Wonwoo Lee, Woo Wontack, Edmond Boyer. Identifying Foreground from Multiple Images. ACCV 2007 - 8th Asian Conference on Computer Vision, Nov 2007, Tokyo, Japan. pp.580-589, ⟨10.1007/978-3-540-76390-1_57⟩. ⟨inria-00590236⟩



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