Mobility aids detection using Convolution Neural Network (CNN)

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Title

Mobility aids detection using Convolution Neural Network (CNN)

Content partner

University of Waikato

Collection

ResearchCommons@Waikato

Description

The automated detection of disabled persons in surveillance videos to gain data for lobbying access for disabled persons is a largely unexplored application. We train You Only Look Once (YOLO) CNN on a custom database and achieve an accuracy of 92% for detecting disabled pedestrians in surveillance videos. A person is declared disabled if they are detected in the close proximity of a mobility aid. The detection outcome was further categorised into five classes of mobility aids and precision w...

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Format

Research Paper

Research format

Conference item

Date created

2018

Creator

Mukhtar, Amir / Cree, Michael J. / Scott, Jonathan B. / Streeter, Lee

URL

https://hdl.handle.net/10289/12430

Related subjects

convolutional neural network / mobility aids / computer vision / YOLO

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©2023 The Author(s). This is an open-access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).

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