Comparison of Techniques for Mitigating the Effects of Illumination Variations on the Appearance of Human Target

Publication Type:
Conference Proceeding
Lecture Notes in Computer Science vol.4842 ,Advances in Visual Computing, 2007, pp. 116 - 127
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2007000544.pdf179.99 kB
Adobe PDF
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.
Please use this identifier to cite or link to this item: