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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: 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

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 full-spectrum 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
Faculty: Previous Faculty of Computing, Engineering and Sciences > Computing
Depositing User: Claude CHIBELUSHI
Date Deposited: 23 Sep 2016 08:49
Last Modified: 05 Apr 2018 12:51

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