Identifying Crucial Objects in Blind and Low-Vision Individuals' Navigation ...
This paper presents a curated list of 90 objects essential for the navigation of blind and low-vision (BLV) individuals, encompassing road, sidewalk, and indoor environments. We develop the initial list by analyzing 21 publicly available videos featuring BLV individuals navigating various settings....
Main Authors: | , , , , |
---|---|
Format: | Text |
Language: | unknown |
Published: |
arXiv
2024
|
Subjects: | |
Online Access: | https://dx.doi.org/10.48550/arxiv.2408.13175 https://arxiv.org/abs/2408.13175 |
id |
ftdatacite:10.48550/arxiv.2408.13175 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.48550/arxiv.2408.13175 2024-09-30T14:38:54+00:00 Identifying Crucial Objects in Blind and Low-Vision Individuals' Navigation ... Islam, Md Touhidul Kabir, Imran Pearce, Elena Ariel Reza, Md Alimoor Billah, Syed Masum 2024 https://dx.doi.org/10.48550/arxiv.2408.13175 https://arxiv.org/abs/2408.13175 unknown arXiv https://dx.doi.org/10.1145/3663548.3688538 arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Computer Vision and Pattern Recognition cs.CV FOS: Computer and information sciences Text Article ScholarlyArticle article-journal 2024 ftdatacite https://doi.org/10.48550/arxiv.2408.1317510.1145/3663548.3688538 2024-09-02T09:18:29Z This paper presents a curated list of 90 objects essential for the navigation of blind and low-vision (BLV) individuals, encompassing road, sidewalk, and indoor environments. We develop the initial list by analyzing 21 publicly available videos featuring BLV individuals navigating various settings. Then, we refine the list through feedback from a focus group study involving blind, low-vision, and sighted companions of BLV individuals. A subsequent analysis reveals that most contemporary datasets used to train recent computer vision models contain only a small subset of the objects in our proposed list. Furthermore, we provide detailed object labeling for these 90 objects across 31 video segments derived from the original 21 videos. Finally, we make the object list, the 21 videos, and object labeling in the 31 video segments publicly available. This paper aims to fill the existing gap and foster the development of more inclusive and effective navigation aids for the BLV community. ... : Paper accepted at ASSETS'24 (Oct 27-30, 2024, St. Johns, Newfoundland, Canada). arXiv admin note: substantial text overlap with arXiv:2407.16777 ... Text Newfoundland DataCite Canada |
institution |
Open Polar |
collection |
DataCite |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Computer Vision and Pattern Recognition cs.CV FOS: Computer and information sciences |
spellingShingle |
Computer Vision and Pattern Recognition cs.CV FOS: Computer and information sciences Islam, Md Touhidul Kabir, Imran Pearce, Elena Ariel Reza, Md Alimoor Billah, Syed Masum Identifying Crucial Objects in Blind and Low-Vision Individuals' Navigation ... |
topic_facet |
Computer Vision and Pattern Recognition cs.CV FOS: Computer and information sciences |
description |
This paper presents a curated list of 90 objects essential for the navigation of blind and low-vision (BLV) individuals, encompassing road, sidewalk, and indoor environments. We develop the initial list by analyzing 21 publicly available videos featuring BLV individuals navigating various settings. Then, we refine the list through feedback from a focus group study involving blind, low-vision, and sighted companions of BLV individuals. A subsequent analysis reveals that most contemporary datasets used to train recent computer vision models contain only a small subset of the objects in our proposed list. Furthermore, we provide detailed object labeling for these 90 objects across 31 video segments derived from the original 21 videos. Finally, we make the object list, the 21 videos, and object labeling in the 31 video segments publicly available. This paper aims to fill the existing gap and foster the development of more inclusive and effective navigation aids for the BLV community. ... : Paper accepted at ASSETS'24 (Oct 27-30, 2024, St. Johns, Newfoundland, Canada). arXiv admin note: substantial text overlap with arXiv:2407.16777 ... |
format |
Text |
author |
Islam, Md Touhidul Kabir, Imran Pearce, Elena Ariel Reza, Md Alimoor Billah, Syed Masum |
author_facet |
Islam, Md Touhidul Kabir, Imran Pearce, Elena Ariel Reza, Md Alimoor Billah, Syed Masum |
author_sort |
Islam, Md Touhidul |
title |
Identifying Crucial Objects in Blind and Low-Vision Individuals' Navigation ... |
title_short |
Identifying Crucial Objects in Blind and Low-Vision Individuals' Navigation ... |
title_full |
Identifying Crucial Objects in Blind and Low-Vision Individuals' Navigation ... |
title_fullStr |
Identifying Crucial Objects in Blind and Low-Vision Individuals' Navigation ... |
title_full_unstemmed |
Identifying Crucial Objects in Blind and Low-Vision Individuals' Navigation ... |
title_sort |
identifying crucial objects in blind and low-vision individuals' navigation ... |
publisher |
arXiv |
publishDate |
2024 |
url |
https://dx.doi.org/10.48550/arxiv.2408.13175 https://arxiv.org/abs/2408.13175 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
Newfoundland |
genre_facet |
Newfoundland |
op_relation |
https://dx.doi.org/10.1145/3663548.3688538 |
op_rights |
arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ |
op_doi |
https://doi.org/10.48550/arxiv.2408.1317510.1145/3663548.3688538 |
_version_ |
1811641494464888832 |