Accurate People Counting Based on Radar: Deep Learning Approach
Author:
Funder
National Research Foundation of Korea (NRF)
Ministry of Science, ICT
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9266310/9266311/09266496.pdf?arnumber=9266496
Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Crowd Counting Measurements in a Festival Area Using a mmWave FMCW Radar;2024 IEEE Radar Conference (RadarConf24);2024-05-06
2. Dynamic People Counting from Delay-Doppler Images in Challenging Scenarios: Enhancing Model Performance;2024 34th International Conference Radioelektronika (RADIOELEKTRONIKA);2024-04-17
3. Radar-Based People Counting Under Heterogeneous Clutter Environments;IEEE Sensors Journal;2024-01-01
4. Group Counting Using Micro-Doppler Signatures From a 77GHz FMCW Radar;2023 IEEE International Radar Conference (RADAR);2023-11-06
5. A Multitask Network for People Counting, Motion Recognition, and Localization Using Through-Wall Radar;Sensors;2023-09-28
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