Through-wall human pose reconstruction via UWB MIMO radar and 3D CNN
Human pose reconstruction has been a fundamental research in computer vision. However,
existing pose reconstruction methods suffer from the problem of wall occlusion that cannot
be solved by a traditional optical sensor. This article studies a novel human target pose
reconstruction framework using low-frequency ultra-wideband (UWB) multiple-input multiple-
output (MIMO) radar and a convolutional neural network (CNN), which is used to detect
targets behind the wall. In the proposed framework, first, we use UWB MIMO radar to capture …
existing pose reconstruction methods suffer from the problem of wall occlusion that cannot
be solved by a traditional optical sensor. This article studies a novel human target pose
reconstruction framework using low-frequency ultra-wideband (UWB) multiple-input multiple-
output (MIMO) radar and a convolutional neural network (CNN), which is used to detect
targets behind the wall. In the proposed framework, first, we use UWB MIMO radar to capture …
Through-Wall Human Pose Reconstruction via UWB MIMO Radar and 3D CNN. Remote Sens. 2021, 13, 241
Y Song, T Jin, Y Dai, Y Song, X Zhou - 2021 - search.proquest.com
Human pose reconstruction has been a fundamental research in computer vision. However,
existing pose reconstruction methods suffer from the problem of wall occlusion that cannot
be solved by a traditional optical sensor. This article studies a novel human target pose
reconstruction framework using low-frequency ultra-wideband (UWB) multiple-input multiple-
output (MIMO) radar and a convolutional neural network (CNN), which is used to detect
targets behind the wall. In the proposed framework, first, we use UWB MIMO radar to capture …
existing pose reconstruction methods suffer from the problem of wall occlusion that cannot
be solved by a traditional optical sensor. This article studies a novel human target pose
reconstruction framework using low-frequency ultra-wideband (UWB) multiple-input multiple-
output (MIMO) radar and a convolutional neural network (CNN), which is used to detect
targets behind the wall. In the proposed framework, first, we use UWB MIMO radar to capture …
Showing the best results for this search. See all results