A Robust Multi-Frame mmWave Radar Point Cloud-Based Human Skeleton Estimation Approach with Point Cloud Reliability Assessment
Author:
Affiliation:
1. Graduate School of Science and Technology, Keio University,Yokohama,Japan
2. Keio University,Department of Information and Computer Science,Yokohama,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10324456/10324848/10325204.pdf?arnumber=10325204
Reference15 articles.
1. Point‐convolution‐based human skeletal pose estimation on millimetre wave frequency modulated continuous wave multiple‐input multiple‐output radar
2. HuPR: A Benchmark for Human Pose Estimation Using Millimeter Wave Radar
3. Bidirectional lstm-crf models for sequence tagging;huang;ArXiv Preprint,2015
4. A Joint Global–Local Network for Human Pose Estimation With Millimeter Wave Radar
5. Fast and scalable human pose estimation using mmWave point cloud
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