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Automatic Camera Calibration for Traffic Understanding

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F14%3APU112032" target="_blank" >RIV/00216305:26230/14:PU112032 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.fit.vutbr.cz/~herout/papers/2014-BMVC-VehicleBoxes.pdf" target="_blank" >http://www.fit.vutbr.cz/~herout/papers/2014-BMVC-VehicleBoxes.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic Camera Calibration for Traffic Understanding

  • Original language description

    We propose a method for fully automatic calibration of traffic surveillance cameras. This method allows for calibration of the camera - including scale - without any user input, only from several minutes of input surveillance video. The targeted applications include speed measurement, measurement of vehicle dimensions, vehicle classification, etc.  The achieved mean accuracy of speed and distance measurement is below 2%. Our efficient C++ implementation runs in real time on a lowend processor (Core i3) with a safe margin even for full-HD videos.

  • 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

    <a href="/en/project/TE01020415" target="_blank" >TE01020415: V3C - Visual Computing Competence Center</a><br>

  • Continuities

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

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of BMVC 2014

  • ISBN

    1-901725-52-9

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    1-10

  • Publisher name

    The British Machine Vision Association and Society for Pattern Recognition

  • Place of publication

    Nottingham

  • Event location

    Nottingham

  • Event date

    Sep 1, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article