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Volume: 1 | Article ID: art00051
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Color Invariant For Person Images Indexing
  DOI :  10.2352/CGIV.2002.1.1.art00051  Published OnlineJanuary 2002
Abstract

Many colored object recognition methods tend to fail when the incident illumination varies. In the context of image indexing, a method is presented, which does not depend on lighting conditions. A new approach for indexing images of persons moving in areas in where the acquisition is monitored by color cameras is developed to cope with the variations of the lighting conditions. We consider that illumination changes can be described using a simple linear transform. For comparing two images, we transform the target one according to the query one by means of an original color histogram specification based on color invariant evaluation. For the purpose of indexing, we evaluate invariant color signatures of the query image and the transformed target image, through the use of the color co-occurrence matrices. Results of tests on real images are very encouraging, with substantially better performance than those of other methods tested.

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Damien Muselet, Ludovic Macaire, Jack-Gérard Postaire, Khoudour Louahdi, "Color Invariant For Person Images Indexingin Proc. IS&T CGIV 2002 First European Conf. on Colour in Graphics, Imaging, and Vision,  2002,  pp 236 - 240,  https://doi.org/10.2352/CGIV.2002.1.1.art00051

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Copyright © Society for Imaging Science and Technology 2002
72010351
Conference on Colour in Graphics, Imaging, and Vision
conf colour graph imag vis
2158-6330
Society of Imaging Science and Technology
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