Abstract
Current driving assitance systems have multiple cameras mounted on a moving vehicle for road environment perception. For the purpose of integrating a color camera and a near infrared camera, we developed multiband camera. An input image of the multiband camera, which is called a multiband image, is available in four bands consisting of a band of near infrared and three bands of color. In this paper, we present a multiband image segmentation to recognize the objects in a road scene using various texture filter banks. Experimental results show that the performance of a multiband image is superior to that of a color image for multiclass object recognition.
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