Detail výsledku

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.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Abstrakt

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.

Klíčová slova

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

URL
Rok
2019
Strany
150–158
Časopis
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, roč. 2019, č. 1, ISSN 2160-7516
Sborník
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Řada
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Konference
IEEE/CVF Conference on Computer Vision and Pattern Recognition
Vydavatel
IEEE Computer Society
Místo
Long Beach
EID Scopus
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"
}
Projekty
IT4Innovations excellence in science, MŠMT, Národní program udržitelnosti II, LQ1602, zahájení: 2016-01-01, ukončení: 2020-12-31, ukončen
SMARTCarPark - Monitorování, analýza a re-identifikace dopravy pro pokročilé parkování vozidel, TAČR, Program na podporu aplikovaného výzkumu a experimentálního vývoje EPSILON (2015-2025), TH03010529, zahájení: 2018-01-01, ukončení: 2020-12-31, ukončen
Zpracování, zobrazování a analýza multimediálních a 3D dat, VUT, Vnitřní projekty VUT, FIT-S-17-3984, zahájení: 2017-03-01, ukončení: 2020-02-29, ukončen
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