UC Riverside

In order to deal with recognition problem of the low-resolution and poor-quality images captured from traffic surveillance camera in intelligent transportation system, a vehicle logo super-resolution method using two-dimensional canonical correlation analysis(2D CCA)is presented. While numerous approaches have been proposed to do the recognition, they can only achieve good performance on the images with high resolution. In this paper, a novel combination of morphological operation and sliding window technique is adopted to detect the vehicle logo, and then using 2D CCA to do super-resolution reconstruction which improve performance significantly compared with other traditional methods. It analysis the performance of proposed approach on a large image dataset.