Pothole Detection and Tracking in Car Video Sequence

Abstract

In this paper, we propose a low complexity method for detection and tracking of potholes in video sequences taken by a camera placed inside a moving car.<br/>The region of interest for the detection of the potholes is selected as the image area where the road is observed with the highest resolution. A threshold-based algorithm generates a set of candidate regions. <br/>For each region the following features are extracted: its size, the regularity of the intensity surface, contrast with respect to background model, and the region's contour length and shape. The candidate regions are labeled as putative potholes by a decision tree according to these features, eliminating the false positives due to shadows of wayside objects.<br/>The putative potholes that are successfully tracked in consecutive frames are finally declared potholes.<br/>Experimental results with real video sequences show a good detection precision.