Weighted features for infrared vehicle verification based on Gabor filters

For infrared vehicle verification we propose a novel feature extraction technique based on Gabor filters which consists two main steps: feature extraction and feature weighting. It weights the raw features derived from 2D Gabor filters according to their own degree of dispersion which can enhance the effect of the features whose degree of dispersion is relatively small but also can widely used the statistical information of sample images. Infrared vehicle verification results on the four different videos suggest that the proposed method is superior (in terms of robustness and discrimination ability) to conventional ones. This technique holds good for visual sequences as well.