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Railway Crossing Monitoring System based on Image Processing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F14%3A39899219" target="_blank" >RIV/00216275:25530/14:39899219 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Railway Crossing Monitoring System based on Image Processing

  • Original language description

    This article deals with the occupancy detection on a railway crossing (clearance detection). The presented detection is based on the optical flow estimation and classification of the flow vectors by K-means clustering algorithm. The optical flow is basedon a modified Lucas-Kanade method. For testing of the developed methods a model was created and the results were verified on a real data.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/FR-TI3%2F297" target="_blank" >FR-TI3/297: *RFcellanhancer with digital signal processing</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

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

    2nd International Conference on Advances in Computing, Electronics and Communication (ACEC 2014)

  • ISBN

    978-1-63248-029-3

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    151-155

  • Publisher name

    Institute of Research Engineers and Doctors (IRED)

  • Place of publication

    New York

  • Event location

    Zurich

  • Event date

    Oct 25, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article