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Automated Person Detection in Dynamic Scenes to Assist People with Vision Impairments: An Initial Investigation

Published: 08 October 2018 Publication History

Abstract

We propose a computer vision system that can automatically detect people in dynamic real-world scenes, enabling people with vision impairments to have more awareness of, and interactions with, other people in their surroundings. As an initial step, we investigate the feasibility of four camera systems that vary in their placement, field-of-view, and image distortion for: (i) capturing people generally; and (ii) detecting people via a specific person-pose estimator. Based on our findings, we discuss future opportunities and challenges for detecting people in dynamic scenes, and for communicating that information to visually impaired users.

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  1. Automated Person Detection in Dynamic Scenes to Assist People with Vision Impairments: An Initial Investigation

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    cover image ACM Conferences
    ASSETS '18: Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility
    October 2018
    508 pages
    ISBN:9781450356503
    DOI:10.1145/3234695
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Publication History

    Published: 08 October 2018

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    Author Tags

    1. accessibility
    2. computer vision
    3. context-aware computing
    4. person detection
    5. tracking
    6. vision impairment
    7. wearables

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    ASSETS '18 Paper Acceptance Rate 28 of 108 submissions, 26%;
    Overall Acceptance Rate 436 of 1,556 submissions, 28%

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    • (2023)Advocacy as Access Work: How People with Visual Impairments Gain Access to Digital Banking in IndiaProceedings of the ACM on Human-Computer Interaction10.1145/35795967:CSCW1(1-23)Online publication date: 16-Apr-2023
    • (2022)Shared Privacy Concerns of the Visually Impaired and Sighted Bystanders with Camera-Based Assistive TechnologiesACM Transactions on Accessible Computing10.1145/350685715:2(1-33)Online publication date: 19-May-2022
    • (2022)From the lab to people's homeProceedings of the 19th International Web for All Conference10.1145/3493612.3520448(1-11)Online publication date: 25-Apr-2022
    • (2022)Recent trends in computer vision-driven scene understanding for VI/blind users: a systematic mappingUniversal Access in the Information Society10.1007/s10209-022-00868-w22:3(983-1005)Online publication date: 6-Feb-2022
    • (2021)Accessing Passersby Proxemic Signals through a Head-Worn Camera: Opportunities and Limitations for the BlindProceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3441852.3471232(1-15)Online publication date: 17-Oct-2021
    • (2021)“It’s Complicated”: Negotiating Accessibility and (Mis)Representation in Image Descriptions of Race, Gender, and DisabilityProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445498(1-19)Online publication date: 6-May-2021
    • (2020)Interpretability as a dynamic of human-AI interactionInteractions10.1145/341128627:5(40-45)Online publication date: 1-Sep-2020
    • (2020)Investigating the intelligibility of a computer vision system for blind usersProceedings of the 25th International Conference on Intelligent User Interfaces10.1145/3377325.3377508(419-429)Online publication date: 17-Mar-2020
    • (2020)Privacy Considerations of the Visually Impaired with Camera Based Assistive Technologies: Misrepresentation, Impropriety, and FairnessProceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3373625.3417003(1-14)Online publication date: 26-Oct-2020
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