Moving Object Speed Estimation Method

Abstract

This paper presents a solution to solve the detection and estimating speed problem for road vehicles in images acquired by means of unmanned aerial vehicles (UAV). UAV photographing which can conveniently take vehicles’ picture and save time for setting up fixed cameras have become an important part in intelligent transportation system (ITS). The proposed method starts with HSV color space transformation in order to reduce the influence of light change, and uses the saturation features to remove shadows in the aerial images. Then, the lane is used as a scale to estimate the vehicle speed for reducing the error influences in UVA flight altitude pressure. The experimental results show that this method performs well in the height of 40 meters, and the vehicle speed calculation error is less than 3. 3%.