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

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/25313436:_____/18:N0000001

Výsledek na webu

<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

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

978-1-5386-4695-3

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

372-375

Název nakladatele

Faculty of Electrical Engineering and Communacation, Brno University of Technology

Místo vydání

Technická 3058/10, 616 00 Brno, Czech Republic

Místo konání akce

Athens, Greece

Datum konání akce

4. 7. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000454845100083