Result Details

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

ŠPAŇHEL, J.; BARTL, V.; JURÁNEK, R.; HEROUT, A. 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. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. Long Beach: IEEE Computer Society, 2019. no. 1, p. 150-158. ISSN: 2160-7516.
Type
conference paper
Language
English
Authors
Špaňhel Jakub, Ing., Ph.D., DCGM (FIT)
Bartl Vojtěch, Ing., Ph.D., DCGM (FIT)
Juránek Roman, Ing., Ph.D., DCGM (FIT)
Herout Adam, prof. Ing., Ph.D., DCGM (FIT)
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.

Keywords

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

URL
Published
2019
Pages
150–158
Journal
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 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
Publisher
IEEE Computer Society
Place
Long Beach
EID Scopus
2-s2.0-85083741752
BibTeX 
@inproceedings{BUT162081,
  author="Jakub {Špaňhel} and Vojtěch {Bartl} and Roman {Juránek} and Adam {Herout}",
  title="Vehicle Re-Identification and Multi-Camera Tracking in Challenging City-Scale Environment",
  booktitle="2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
  year="2019",
  series="IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops",
  journal="IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops",
  volume="2019",
  number="1",
  pages="150--158",
  publisher="IEEE Computer Society",
  address="Long Beach",
  issn="2160-7508",
  url="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"
}
Projects
IT4Innovations excellence in science, MŠMT, Národní program udržitelnosti II, LQ1602, start: 2016-01-01, end: 2020-12-31, completed
SMARTCarPark - Surveillance Monitoring, Analysis and Re-identification of Traffic for Enhanced Car Parking, TAČR, Program na podporu aplikovaného výzkumu a experimentálního vývoje EPSILON (2015-2025), TH03010529, start: 2018-01-01, end: 2020-12-31, completed
Zpracování, zobrazování a analýza multimediálních a 3D dat, BUT, Vnitřní projekty VUT, FIT-S-17-3984, start: 2017-03-01, end: 2020-02-29, completed
Research groups
Computer Graphics Research Group (RG GRAPH)
Departments
Department of Computer Graphics and Multimedia (DCGM)
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