HuPR is a human pose estimation benchmark is created using cross-calibrated mmWave radar sensors and a monocular RGB camera for cross-modality training of radar-based human pose estimation. This dataset contains 235 sequences of data in an indoor environment, with each sequence being one-minute long and totalling about 4 hour-long video data.
Source: HuPR: A Benchmark for Human Pose Estimation Using Millimeter Wave RadarPaper | Code | Results | Date | Stars |
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