Object tracking in noisy radar data: Comparison of Hough transform and RANSAC

Abstract

We have developed methods for tracking objects in penetrating radar data. The data sets of interest typically contain linear tracks corresponding to object motion, along with large amounts of noise from the environment, the motion of the radar device, and other sources. The Hough transform and RANSAC are algorithms that are well known for their ability to detect straight line segments in the presence of noise. In this study, we compare the performance of these two important algorithms.