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
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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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
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e-ISSN
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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