Robot Eye: Automatic Object Detection and Recognition Using Deep Attention Network to Assist Blind People

Ervin Yohannes, Paul Lin, Chih Yang Lin, Timothy K. Shih

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

Detection and Recognition is a well-known topic in computer vision that still faces many unresolved issues. One of the main contributions of this research is a method to guide blind people around an outdoor environment with the assistance of a ZED stereo camera, a camera that can calculate depth information. In this paper, we propose a deep attention network to automatically detect and recognize objects. The objects are not only limited to general people or cars, but include convenience stores and traffic lights as well, in order to help blind people cross a road and make purchases in a store. Since public datasets are limited, we also create a novel dataset with images captured by the ZED stereo camera and collected from Google Street View. When testing with images of different resolutions, our method achieves an accuracy rate of about 81%, which is better than naive YOLO v3.

原文???core.languages.en_GB???
主出版物標題Proceedings - 2020 International Conference on Pervasive Artificial Intelligence, ICPAI 2020
發行者Institute of Electrical and Electronics Engineers Inc.
頁面152-157
頁數6
ISBN(電子)9781665404839
DOIs
出版狀態已出版 - 12月 2020
事件1st International Conference on Pervasive Artificial Intelligence, ICPAI 2020 - Taipei, Taiwan
持續時間: 3 12月 20205 12月 2020

出版系列

名字Proceedings - 2020 International Conference on Pervasive Artificial Intelligence, ICPAI 2020

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???event.eventtypes.event.conference???1st International Conference on Pervasive Artificial Intelligence, ICPAI 2020
國家/地區Taiwan
城市Taipei
期間3/12/205/12/20

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