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Segmentation of scenes of mobile objects and demonstrable backgrounds

Maire, Frederic, Morris, Timothy, & Rakotonirainy, Andry (2011) Segmentation of scenes of mobile objects and demonstrable backgrounds. In 6th International Symposium on Autonomous Minirobots for Research and Edutainment (AMiRE 2011), 23-25 May 2011, Bielefeld. (In Press)

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Abstract

In this paper we present a real-time foreground–background segmentation algorithm that exploits the following observation (very often satisfied by a static camera positioned high in its environment). If a blob moves on a pixel p that had not changed its colour significantly for a few frames, then p was probably part of the background when its colour was static. With this information we are able to update differentially pixels believed to be background. This work is relevant to autonomous minirobots, as they often navigate in buildings where smart surveillance cameras could communicate wirelessly with them. A by-product of the proposed system is a mask of the image regions which are demonstrably background. Statistically significant tests show that the proposed method has a better precision and recall rates than the state of the art foreground/background segmentation algorithm of the OpenCV computer vision library.

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ID Code: 40798
Item Type: Conference Paper
Keywords: background modelling, foreground background segmentation, demonstrable background
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Divisions: Current > Research Centres > Centre for Accident Research & Road Safety - Qld (CARRS-Q)
Past > Schools > Computer Science
Current > QUT Faculties and Divisions > Faculty of Health
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Copyright 2011 Please consult the authors.
Deposited On: 18 Mar 2011 12:24
Last Modified: 22 Jun 2011 01:02

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