Mobility Aids Detection Using Convolution Neural Network (CNN)
Amir Mukhtar, Michael J. Cree, Jonathan Brereton Scott, Lee V. Streeter · 2018
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 was calculated.