Publication Details
Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement
Juránek Roman, Ing., Ph.D. (DCGM FIT BUT)
Špaňhel Jakub, Ing., Ph.D. (DCGM FIT BUT)
Maršík Lukáš, Ing. (DCGM FIT BUT)
Široký Adam, Ing. (DCGM FIT BUT)
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT)
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT)
dataset, speed measurement, automatic, surveillance, traffic camera calibration
In this paper, we focus on traffic camera calibration and visual speed measurement from a single monocular camera, which is an important task of visual traffic surveillance. Existing methods addressing this problem are hard to compare due to a lack of a common dataset with reliable ground truth. Therefore, it is not clear how the methods compare in various aspects and what are the factors affecting their performance. We captured a new dataset of 18 full-HD videos, each around one hour long, captured at 6 different locations. Vehicles in the videos (20 865 instances in total) are annotated with precise speed measurements from optical gates using LIDAR and verified with several reference GPS tracks. We made the dataset available for download and it contains the videos and metadata (calibration, lengths of features in image, annotations, etc.) 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 dataset in detail.
@ARTICLE{FITPUB11701,
author = "Jakub Sochor and Roman Jur\'{a}nek and Jakub \v{S}pa\v{n}hel and Luk\'{a}\v{s} Mar\v{s}\'{i}k and Adam \v{S}irok\'{y} and Adam Herout and Pavel Zem\v{c}\'{i}k",
title = "Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement",
pages = "1633--1643",
journal = "IEEE Transactions on Intelligent Transportation Systems",
volume = 2018,
number = 99,
year = 2018,
ISSN = "1524-9050",
doi = "10.1109/TITS.2018.2825609",
language = "english",
url = "https://www.fit.vut.cz/research/publication/11701"
}