Detail publikačního výsledku

Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement

SOCHOR, J.; JURÁNEK, R.; ŠPAŇHEL, J.; MARŠÍK, L.; ŠIROKÝ, A.; HEROUT, A.; ZEMČÍK, P.

Originální název

Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement

Anglický název

Comprehensive Data Set for Automatic Single Camera Visual Speed Measurement

Druh

Článek WoS

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

dataset, speed measurement, automatic, surveillance, traffic camera calibration

Klíčová slova v angličtině

dataset, speed measurement, automatic, surveillance, traffic camera calibration

Autoři

SOCHOR, J.; JURÁNEK, R.; ŠPAŇHEL, J.; MARŠÍK, L.; ŠIROKÝ, A.; HEROUT, A.; ZEMČÍK, P.

Rok RIV

2019

Vydáno

08.05.2018

Nakladatel

IEEE

ISSN

1524-9050

Periodikum

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Svazek

2018

Číslo

99

Stát

Spojené státy americké

Strany od

1633

Strany do

1643

Strany počet

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/"
}

Dokumenty

2016-ITS-BrnoCompSpeed
2016-ITS-BrnoCompSpeed-Supplementary