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Spectral-360: A Physics-Based Technique for Change Detection

SEDKY, Mohamed, Moniri, Mansour and Chibelushi, Claude C (2014) Spectral-360: A Physics-Based Technique for Change Detection. In: Proceedigs of the 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops. IEEE Conference on Computer Vision and Pattern Recognition - Workshops . IEEE, pp. 405-408. ISBN 978-1-4799-4308-1

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Abstract or description

Abstract— This paper presents and assesses a novel physics-based change detection technique, Spectral-360, which is based on the dichromatic color reflectance model. This approach, uses image formation models to computationally estimate, from the camera output, a consistent physics-based color descriptor of the spectral reflectance of surfaces visible in the
image, and then to measure the similarity between the fullspectrum reflectance of the background and foreground pixels to segment the foreground from a static background. This method represents a new approach to change detection, using explicit hypotheses about the physics that create images. The
assumptions which have been made are that diffuse only reflection is applicable, and the existence of a dominant
illuminant. The objective evaluation performed using the
‘ 2014’ dataset shows that our Spectral-360 method outperforms most state-of-the-art methods.

Item Type: Book Chapter, Section or Conference Proceeding
Additional Information: © 2014, IEEE
Faculty: Previous Faculty of Computing, Engineering and Sciences > Computing
Event Title: Computer Vision and Pattern Recognition Workshops (CVPRW), 2014 IEEE Conference on
Depositing User: Mohamed SEDKY
Date Deposited: 11 Jun 2015 09:14
Last Modified: 19 Aug 2019 09:18
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