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

Conference paper


Sedky, Mohamed, Moniri, M. and Chibelushi, Claude C. 2014. Spectral-360: A Physics-Based Technique for Change Detection. 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2014). Columbus, OH, USA 23 - 28 Jun 2014 IEEE. pp. 405-408 https://doi.org/10.1109/CVPRW.2014.65
AuthorsSedky, Mohamed, Moniri, M. and Chibelushi, Claude C.
TypeConference paper
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 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 'changedetection.net 2014' dataset shows that our Spectral-360 method outperforms most state-of-the-art methods.

Year2014
Conference2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2014)
PublisherIEEE
Publication dates
Print25 Sep 2014
Publication process dates
Deposited22 Aug 2017
ISSN2160-7516
Book title2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops
ISBN978-1-4799-4308-1
Digital Object Identifier (DOI)https://doi.org/10.1109/CVPRW.2014.65
Web address (URL)https://doi.org/10.1109/CVPRW.2014.65
Page range405-408
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