Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement [IEEE ITS 2018]

Jakub Sochor, Roman Juránek, Jakub Špaňhel, Lukáš Maršík, Adam Široký, Adam Herout, Pavel Zemčík
GRAPH@FIT, Brno University of Technology
Corresponding authors: {ispanhel; herout} [at] fit.vutbr.cz

Abstract

In this paper, we focus on traffic camera calibration and a visual speed measurement from a single monocular camera, which is an important task of visual traffic surveillance. Existing methods addressing this problem are difficult to compare due to a lack of a common data set with reliable ground truth. Therefore, it is not clear how the methods compare in various aspects and what factors are affecting their performance. We captured a new data set of 18 full-HD videos, each around 1 hr long, captured at six different locations. Vehicles in the videos (20865 instances in total) are annotated with the precise speed measurements from optical gates using LiDAR and verified with several reference GPS tracks. We made the data set available for download and it contains the videos and metadata (calibration, lengths of features in image, annotations, and so on) for future comparison and evaluation. Camera calibration is the most crucial part of the speed measurement; therefore, we provide a brief overview of the methods and analyze a recently published method for fully automatic camera calibration and vehicle speed measurement and report the results on this data set in detail.

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Except where otherwise noted, this work is licensed under
https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.
© 2018, SOCHOR, JURÁNEK, ŠPAŇHEL, MARŠÍK, ŠIROKÝ, HEROUT, ZEMČÍK. Some Rights Reserved.

Citation

@ARTICLE{Sochor2018, 
author={J. Sochor and R. Juránek and J. Špaňhel and L. Maršík and A. Široký and A. Herout and P. Zemčík}, 
journal={IEEE Transactions on Intelligent Transportation Systems}, 
title={Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement}, 
year={2018}, 
volume={}, 
number={}, 
pages={1-11}, 
keywords={Dataset;automatic;speed measurement;surveillance;traffic camera calibration.}, 
doi={10.1109/TITS.2018.2825609}, 
ISSN={1524-9050}, 
month={},}

BrnoCompSpeed_scheme

Acknowledgment

This work was supported by The Ministry of Education, Youth and Sports of the Czech Republic from the National Programme of Sustainability (NPU II); project IT4Innovations excellence in science — LQ1602.