Mar 22, 2022 · In this paper, we propose an unsupervised domain adaptation (UDA) model, named Guided Subspace Alignment under the Class-aware condition (G-SAC), to recognize ...
In this case, the person identification model will easily suffer from the numerous unknown disguised human gaits because the radar echo intensities, Doppler ...
Unsupervised domain adaptation for disguised-gait-based person identification on micro-Doppler signatures. Y Yang, X Yang, T Sakamoto, F Fioranelli, B Li, Y ...
Unsupervised Domain Adaptation for Disguised-Gait-Based Person Identification on Micro-Doppler Signatures. IEEE Trans. Circuits Syst. Video Technol. 32(9) ...
4 days ago · Unsupervised Domain Adaptation for Disguised-Gait-Based Person Identification on Micro-Doppler Signatures. IEEE Trans. Circuits Syst. Video ...
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In this letter, we propose two methods for personnel recognition and gait classification using deep convolutional neural networks (DCNNs) based on multistatic ...
Oct 12, 2024 · The present study aims to investigate radar-based gait recognition, with a specific emphasis on the challenge of identifying disguised gaits.
Sep 24, 2022 · Unsupervised Domain Adaptation for Disguised-Gait-Based Person Identification on Micro-Doppler Signatures. IEEE Transactions on Circuits and ...
DCS-Gait: A Class-Level Domain Adaptation Approach for Cross ...
dl.acm.org › doi › TIFS.2024.3356827
Jan 22, 2024 · DCS-Gait provides a promising and reliable solution for accurate cross-scene and cross-state gait recognition in real-world settings. References.
Aug 21, 2024 · Unsupervised Domain Adaptation for Disguised-Gait-Based Person Identification on Micro-Doppler Signatures, CirSysVideo(32), No. 9, September ...