Deep Learning Approach for Radar-Based People Counting
IEEE Internet of Things Journal(2022)
Abstract
With the development of deep learning (DL) frameworks in the field of pattern recognition, DL-based algorithms have outperformed handcrafted feature (HF)-based ones in various applications. However, there still exist several challenges in applying the DL framework to a radar-based people counting (RPC) task: The powerful representation capacity of a deep neural network (DNN) learns not only the de...
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Key words
Radar,Radar cross-sections,Clutter,Training,Radar clutter,Internet of Things,Feature extraction
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