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SOCHOR, J. JURÁNEK, R. ŠPAŇHEL, J. MARŠÍK, L. ŠIROKÝ, A. HEROUT, A. ZEMČÍK, P.
Original Title
Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement
Type
journal article in Web of Science
Language
English
Original Abstract
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.
Keywords
dataset, speed measurement, automatic, surveillance, traffic camera calibration
Authors
SOCHOR, J.; JURÁNEK, R.; ŠPAŇHEL, J.; MARŠÍK, L.; ŠIROKÝ, A.; HEROUT, A.; ZEMČÍK, P.
Released
8. 5. 2018
Publisher
IEEE
ISBN
1524-9050
Periodical
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
Year of study
2018
Number
99
State
United States of America
Pages from
1633
Pages to
1643
Pages count
11
URL
https://www.fit.vut.cz/research/publication/11701/
BibTex
@article{BUT147193, author="Jakub {Sochor} and Roman {Juránek} and Jakub {Špaňhel} and Lukáš {Maršík} and Adam {Široký} and Adam {Herout} and Pavel {Zemčík}", title="Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement", journal="IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS", year="2018", volume="2018", number="99", pages="1633--1643", doi="10.1109/TITS.2018.2825609", issn="1524-9050", url="https://www.fit.vut.cz/research/publication/11701/" }
Documents
2016-ITS-BrnoCompSpeed.pdf 2016-ITS-BrnoCompSpeed-Supplementary.pdf