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This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright
© Fouzi LEZZAR, 2020
Affiliations
Fouzi LEZZAR
LIRE Laboratory Constantine 2 University
Djamel BENMERZOUG
LIRE Laboratory Constantine 2 University
Ilham KITOUNI
MISC Laboratory Constantine 2 University
How to Cite
Camera-Based Fall Detection System for the Elderly With Occlusion Recognition
Vol 42 No 3 (2020)
Section: Articles
Pages: 169-179
Abstract
This paper proposes an algorithm for fall detection using 2D RGB camera. Occlusion, fall, and common daily activities are separated from each other by machine learning algorithms, which were trained on features extracted by a deep learning-based computer vision algorithm. This later is used for person detection. The experimental validation of the proposed approach was conducted on two datasets, one public, and the second created by experiments. For evaluation, several assessment measures are computed. This evaluation shown effectiveness of the proposed solution.