Exploring Human Pose Estimation and the Usage of Synthetic Data for Elderly Fall Detection in Real-World Surveillance
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Inha University, Incheon, South Korea
2. Department of Integrated System Engineering, School of Global Convergence Studies, Inha University, Incheon, South Korea
Funder
Ministry of Education (MOE, Korea) and National Research Foundation of Korea
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09870817.pdf?arnumber=9870817
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4. Enhancing Data-Driven Algorithms for Human Pose Estimation and Action Recognition Through Simulation
5. Let’s play for action: Recognizing activities of daily living by learning from life simulation video games;roitberg;Proc IEEE/RSJ Int Conf Intell Robots Syst (IROS),2021
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