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Publication detail
DAHIYA, D. ISSAC, A. DUTTA, M. ŘÍHA, K. KŘÍŽ, P.
Original Title
Computer Vision Technique for Scene Captioning to provide Assistance to Visually Impaired
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Estimate geometric transform; Image processing; Object detection; Point feature matching; Visually impaired assistive technology
Authors
DAHIYA, D.; ISSAC, A.; DUTTA, M.; ŘÍHA, K.; KŘÍŽ, P.
Released
4. 7. 2018
Publisher
Faculty of Electrical Engineering and Communacation, Brno University of Technology
Location
Technická 3058/10, 616 00 Brno, Czech Republic
ISBN
978-1-5386-4695-3
Book
Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing
Pages from
372
Pages to
375
Pages count
4
URL
http://tsp.vutbr.cz/datas/tsp2018_proc/TSP2018.pdf
BibTex
@inproceedings{BUT148931, author="Dhruv {Dahiya} and Ashish {Issac} and Malay Kishore {Dutta} and Kamil {Říha} and Petr {Kříž}", title="Computer Vision Technique for Scene Captioning to provide Assistance to Visually Impaired", booktitle="Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing", year="2018", pages="372--375", publisher="Faculty of Electrical Engineering and Communacation, Brno University of Technology", address="Technická 3058/10, 616 00 Brno, Czech Republic", isbn="978-1-5386-4695-3", url="http://tsp.vutbr.cz/datas/tsp2018_proc/TSP2018.pdf" }