Faculty of Information Technology, BUT

Publication Details

Graph@FIT Submission to the NVIDIA AI City Challenge 2018

SOCHOR Jakub, ŠPAŇHEL Jakub, JURÁNEK Roman, DOBEŠ Petr and HEROUT Adam. Graph@FIT Submission to the NVIDIA AI City Challenge 2018. In: NVIDIA AI City Challenge 2018 (CVPRW). Salt Lake City: IEEE Computer Society, 2018, pp. 77-84. ISBN 978-1-5386-6100-0. Available from: https://ieeexplore.ieee.org/document/8575345
Czech title
Graph@FIT příspěvek do NVIDIA AI City Challenge 2018
Type
conference paper
Language
english
Authors
Sochor Jakub, Ing. (DCGM FIT BUT)
Špaňhel Jakub, Ing. (DCGM FIT BUT)
Juránek Roman, Ing., Ph.D. (DCGM FIT BUT)
Dobeš Petr, Ing. (DCGM FIT BUT)
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT)
URL
Keywords
vehicle speed measurement, vehicle re-identification, challenge, camera calibration
Abstract
In our submission to the NVIDIA AI City Challenge, we address speed measurement of vehicles and vehicle re-identification. For both these tasks, we use a calibration method based on extracted vanishing points. We detect and track vehicles by a CNN-based detector and we construct 3D bounding boxes for all vehicles. For the speed measurement task, we estimate the speed from the movement of the bounding box in the 3D space using the calibration. Our approach to vehicle re-identification is based on extraction of visual features from "unpacked" images of the vehicles. The features are aggregated in temporal domain to obtain a single feature descriptor for the whole track. Furthermore, we utilize a validation network to improve the re-identification accuracy.
Published
2018
Pages
77-84
Proceedings
NVIDIA AI City Challenge 2018 (CVPRW)
Conference
IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, US
ISBN
978-1-5386-6100-0
Publisher
IEEE Computer Society
Place
Salt Lake City, US
DOI
BibTeX
@INPROCEEDINGS{FITPUB11702,
   author = "Jakub Sochor and Jakub \v{S}pa\v{n}hel and Roman Jur\'{a}nek and Petr Dobe\v{s} and Adam Herout",
   title = "Graph@FIT Submission to the NVIDIA AI City Challenge 2018",
   pages = "77--84",
   booktitle = "NVIDIA AI City Challenge 2018 (CVPRW)",
   year = 2018,
   location = "Salt Lake City, US",
   publisher = "IEEE Computer Society",
   ISBN = "978-1-5386-6100-0",
   doi = "10.1109/CVPRW.2018.00018",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11702"
}
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