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Detection of Curvilinear Objects in Aerial Images

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00212521" target="_blank" >RIV/68407700:21230/13:00212521 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Detection of Curvilinear Objects in Aerial Images

  • Original language description

    This paper introduces a general framework for autonomous detection of curvilinear objects in aerial images. Our contribution is two-fold. First, we designed simple yet efficient method, which sequentially prunes the space of possible curvilinear objectsand thus reduces both the false negative rate detection and computational resources with respect to the exhaustive search methods. Second, our method can handle many types of curvilinear objects (e.g. roads, pipelines). We tested the method on our own dataset consisting of highway images. The produced data set is publicly available. We reached the 93.07 perc. overall accuracy.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

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

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    CVWW 2013: Proceedings of the 18th Computer Vision Winter Workshop

  • ISBN

    978-3-200-02943-9

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    9-15

  • Publisher name

    Vienna University of Technology

  • Place of publication

    Vienna

  • Event location

    Hernstein

  • Event date

    Feb 4, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article