A human fall detection framework based on multi-camera fusion
Author:
Affiliation:
1. Department of Computer Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran
2. Department of Electrical Engineering and Information Technology, Iranian Research Organization for Science and Technology, Tehran, Iran
Publisher
Informa UK Limited
Subject
Artificial Intelligence,Theoretical Computer Science,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2021.1938696
Reference53 articles.
1. Video Based Fall Detection using Features of Motion, Shape and Histogram
2. Machine learning in video surveillance for fall detection
3. Fall Detection Using Multiple Bioradars and Convolutional Neural Networks
4. Fall Detection With Multiple Cameras: An Occlusion-Resistant Method Based on 3-D Silhouette Vertical Distribution
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