Content-aware video analysis to guide visually impaired walking on the street

研究成果: 書貢獻/報告類型會議論文篇章同行評審

5 引文 斯高帕斯(Scopus)

摘要

Although many researchers have developed systems or tools to assist blind and visually impaired people, they continue to face many obstacles in daily life—especially in outdoor environments. When people with visual impairments walk outdoors, they must be informed of objects in their surroundings. However, it is challenging to develop a system that can handle related tasks. In recent years, deep learning has enabled the development of many architectures with more accurate results than machine learning. One popular model for instance segmentation is Mask-RCNN, which can do segmentation and rapidly recognize objects. We use Mask-RCNN to develop a context-aware video that can help blind and visually impaired people recognize objects in their surroundings. Moreover, we provide the distance between the subject and object, and the object’s relative speed and direction using Mask-RCNN outputs. The results of our content-aware video include the name of the object, class object score, the distance between the person and the object, speed of the object, and object direction.

原文???core.languages.en_GB???
主出版物標題Advances in Visual Informatics - 6th International Visual Informatics Conference, IVIC 2019, Proceedings
編輯Halimah Badioze Zaman, Nazlena Mohamad Ali, Mohammad Nazir Ahmad, Alan F. Smeaton, Timothy K. Shih, Sergio Velastin, Tada Terutoshi
發行者Springer
頁面3-13
頁數11
ISBN(列印)9783030340315
DOIs
出版狀態已出版 - 2019
事件6th International Conference on Advances in Visual Informatics, IVIC 2019 - Bangi, Malaysia
持續時間: 19 11月 201921 11月 2019

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11870 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???6th International Conference on Advances in Visual Informatics, IVIC 2019
國家/地區Malaysia
城市Bangi
期間19/11/1921/11/19

指紋

深入研究「Content-aware video analysis to guide visually impaired walking on the street」主題。共同形成了獨特的指紋。

引用此