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Computer Vision Technique for Scene Captioning to provide Assistance to Visually Impaired

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU128487" target="_blank" >RIV/00216305:26220/18:PU128487 - isvavai.cz</a>

  • Alternative codes found

    RIV/25313436:_____/18:N0000001

  • Result on the web

    <a href="http://tsp.vutbr.cz/datas/tsp2018_proc/TSP2018.pdf" target="_blank" >http://tsp.vutbr.cz/datas/tsp2018_proc/TSP2018.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Computer Vision Technique for Scene Captioning to provide Assistance to Visually Impaired

  • Original language description

    Commuting and other daily tasks are some of the biggest problems faced by visually impaired people. It becomes extremely difficult for visually impaired people to travel without any assistance and do the daily chores. The proposed method presents an automated and efficient way to tackle these problems by image processing based identification of familiar places like Restrooms, Pharmacies and Metro train stations. Symbols of these places are identified from an image by point feature matching using template detection method. A test image is compared with templates and accordingly output is obtained. The proposed method was tested on a varying database of images and achieved an accuracy of 91.67% for the proposed database. The experimental results present that this method for identifying Restrooms, Pharmacies and Metro train stations is efficient and very helpful for visually impaired people.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

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

    Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing

  • ISBN

    978-1-5386-4695-3

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    372-375

  • Publisher name

    Faculty of Electrical Engineering and Communacation, Brno University of Technology

  • Place of publication

    Technická 3058/10, 616 00 Brno, Czech Republic

  • Event location

    Athens, Greece

  • Event date

    Jul 4, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000454845100083