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Graph@FIT Submission to the NVIDIA AI City Challenge 2018

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F18%3APU130721" target="_blank" >RIV/00216305:26230/18:PU130721 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8575345" target="_blank" >https://ieeexplore.ieee.org/document/8575345</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/CVPRW.2018.00018" target="_blank" >10.1109/CVPRW.2018.00018</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Graph@FIT Submission to the NVIDIA AI City Challenge 2018

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    NVIDIA AI City Challenge 2018 (CVPRW)

  • ISBN

    978-1-5386-6100-0

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    77-84

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Salt Lake City

  • Event location

    Salt Lake City

  • Event date

    Jun 18, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000457636800011