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Alignment of Sewerage Inspection Videos for Their Easier Indexing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F03%3A03087060" target="_blank" >RIV/68407700:21230/03:03087060 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Alignment of Sewerage Inspection Videos for Their Easier Indexing

  • Original language description

    The paper describes a new module of the developed robotic sewerage inspection system. The sewerage pipe is inspected by a remotely controlled inspection tractor equipped by a camera head able to rotate and zoom. This contribution describes a method and asoftware solution which allows to align the new inspection video and the archived video of the same pipe section (typically captured ten years ago). The aim of the analysis is to see how the pipe defects develop in time. The alignment of videos based oncorrespondences sought in images is overambitious. We have chosen the pragmatic approach. The text information from odometer which is superimposed in the video is automatically located and recognized using Optical Character Recognition (OCR) technique.The recognized distance from man-hole of the pipe allows to align both videos easily. The sewerage rehabilitation expert can then use only one remote control of the VCR for video positioning. This contribution describes the proposed solut

  • 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

    <a href="/en/project/LN00B096" target="_blank" >LN00B096: Center for Applied Cybernetics</a><br>

  • Continuities

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

Others

  • Publication year

    2003

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ICVS2003: Proceedings of the Third International Conference on Vision Systems

  • ISBN

    3-540-00921-3

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    141-150

  • Publisher name

    Springer

  • Place of publication

    Berlin

  • Event location

    Graz

  • Event date

    Apr 1, 2003

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article