Publication Details

Vehicle Re-Identification and Multi-Camera Tracking in Challenging City-Scale Environment

ŠPAŇHEL Jakub, BARTL Vojtěch, JURÁNEK Roman and HEROUT Adam. Vehicle Re-Identification and Multi-Camera Tracking in Challenging City-Scale Environment. In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 2019. Long Beach: IEEE Computer Society, 2019, pp. 150-158. ISSN 2160-7516. Available from: http://openaccess.thecvf.com/content_CVPRW_2019/html/AI_City/Spanhel_Vehicle_Re-Identifiation_and_Multi-Camera_Tracking_in_Challenging_City-Scale_Environment_CVPRW_2019_paper.html
Czech title
Re-identifikace a sledování vozidel z více kamer v náročném městkém prostředí
Type
conference paper
Language
english
Authors
URL
Keywords

vehicle re-identification, vehicle multi-camera tracking, city-scale environment, camera calibration, neural networks, nvidia ai city challenge

Abstract

In our submission to the NVIDIA AI City Challenge, we address vehicle re-identification and vehicle multi-camera tracking. Our approach to vehicle re-identification is based on the extraction of visual features and aggregation of these features in the temporal domain to obtain a single feature descriptor for the whole observed track. For multi-camera tracking, we proposed a method for matching vehicles by the position of trajectory points in real-world space (linear coordinate system). Furthermore, we use CNN for the vehicle re-identification task to filter out false matches generated by proposed positional matching method for better results.

Published
2019
Pages
150-158
Journal
Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), vol. 2019, no. 1, ISSN 2160-7516
Proceedings
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Series
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Conference
IEEE/CVF Conference on Computer Vision and Pattern Recognition, Long Beach, California, US
Publisher
IEEE Computer Society
Place
Long Beach, US
EID Scopus
BibTeX
@INPROCEEDINGS{FITPUB12023,
   author = "Jakub \v{S}pa\v{n}hel and Vojt\v{e}ch Bartl and Roman Jur\'{a}nek and Adam Herout",
   title = "Vehicle Re-Identification and Multi-Camera Tracking in Challenging City-Scale Environment",
   pages = "150--158",
   booktitle = "2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
   series = "IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops",
   journal = "Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
   volume = 2019,
   number = 1,
   year = 2019,
   location = "Long Beach, US",
   publisher = "IEEE Computer Society",
   ISSN = "2160-7516",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12023"
}
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