Pedestrian fall detection algorithm based on improved YOLOv5

Author:

Song Xudong1,Luo Qiang1

Affiliation:

1. Jiaotong University,School of Dalian,Dalian,Liaoning,China,116028

Publisher

IEEE

Reference20 articles.

1. Analysis of the burden of disease and impact on life expectancy in Wuxi from;Hai;Modern Preventive medicine,2022

2. The last fracture in life;Chao

3. Research on several key issues of video-based pedestrian detection and tracking in complex traffic scenarios;Yang,2013

4. The design of a health monitoring bracelet system for the elderly;Xin;J]. Electronic Design Engineering,2022

5. Deep learning-based recognition of fall behavior [J];Lu;Computer Science,2019

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