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Type: Journal article
Title: Comparison of Techniques for Mitigating the Effects of Illumination Variations on the Appearance of Human Targets
Author: Madden, Christopher Stuart Terence
Piccardi, Massimo
Zuffi, S.
Citation: Lecture Notes in Computer Science, 2007; 4842:116-127
Publisher: Springer-Verlag Berlin
Issue Date: 2007
ISSN: 0302-9743
School/Discipline: School of Computer Science
Statement of
C. Madden, M. Piccardi and S. Zuffi
Abstract: Several techniques have been proposed to date to build colour invariants between camera views with varying illumination conditions. In this paper, we propose to improve colour invariance by using data-dependent techniques. To this aim, we compare the effectiveness of histogram stretching, illumination filtration, full histogram equalisation and controlled histogram equalisation in a video surveillance domain. All such techniques have limited computational requirements and are therefore suitable for real time implementation. Controlled histogram equalisation is a modified histogram equalisation operating under the influence of a control parameter [1]. Our empirical comparison looks at the ability of these techniques to make the global colour appearance of single human targets more matchable under illumination changes, whilst still discriminating between different people. Tests are conducted on the appearance of individuals from two camera views with greatly differing illumination conditions and invariance is evaluated through a similarity measure based upon colour histograms. In general, our results indicate that these techniques improve colour invariance; amongst them, full and controlled equalisation consistently showed the best performance.
DOI: 10.1007/978-3-540-76856-2_12
Appears in Collections:Computer Science publications

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