Mobility Aids Detection Using Convolution Neural Network (CNN)
| Autor: | Amir Mukhtar, Lee Streeter, Michael J. Cree, Jonathan B. Scott |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Artificial neural network
Computer science Speech recognition 0202 electrical engineering electronic engineering information engineering 020207 software engineering 020201 artificial intelligence & image processing 02 engineering and technology Convolutional neural network Outcome (probability) Mobility aid Convolution |
| Zdroj: | IVCNZ |
| DOI: | 10.1109/ivcnz.2018.8634731 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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