Three-frame Algorithm of Car Path Reconstruction from Airborne Traffic Data

TL;DR

This paper introduces a three-frame algorithm for reconstructing vehicle paths from airborne traffic data, utilizing minimal acceleration criteria, and validates it with a virtual simulator and real data.

Contribution

The paper presents a novel three-frame vehicle path reconstruction algorithm based on minimal acceleration, verified through a virtual simulator and empirical data analysis.

Findings

Effective vehicle path reconstruction from airborne images

Validation of the algorithm with simulated and real data

Potential for improved traffic monitoring accuracy

Abstract

The airborne traffic monitoring system forms a novel technology of detecting vehicle motion. An optical digital camera located on an airborne platform produces a series of images which then are processed to recognized the fixed vehicles. In this way the video data are converted into the time sequence of frames containing the vehicle coordinates. In the present work a three-frame algorithm is developed to identify the succeeding vehicle positions. It is based on finding the neighboring points in the frame sequence characterized by minimal acceleration. To verify and optimize the developed algorithm a ``Virtual Road'' simulator was created. Finally available empirical data are analyzed using the created algorithm.