Nov 28, 2021 · The authors in this work present a novel perspective, which extracts useful gait parameters regarded as independent frames and patterns.
Nov 28, 2021 · This information extracted learns to identify the patterns associated to form a unique gait signature for each person based on their style, foot ...
GaitVision: Real-Time Extraction of Gait Parameters Using Residual ...
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The authors in this work present a novel perspective, which extracts useful gait parameters regarded as independent frames and patterns.
GaitVision: Real-Time Extraction of Gait Parameters Using Residual ...
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Gait walking patterns are one of the key research topics in natural biometrics. The temporal information of the unique gait sequence of a person is ...
Kiran Kumar ; Chaitanya, Prabhu et al. / GaitVision: Real-Time Extraction of Gait Parameters Using Residual Attention Network. In: Complexity. 2021 ; Vol. 2021.
Aug 23, 2024 · GaitVision: Real-Time Extraction of Gait Parameters Using Residual Attention Network. Complex. 2021: 1589716:1-1589716:15 (2021). [+] ...
Performance graph of training on CASIA-B dataset. GaitVision: Real-Time Extraction of Gait Parameters Using Residual Attention Network.
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GaitVision: Real-Time Extraction of Gait Parameters Using Residual Attention Network · Mohammad Farukh HashmiB. Kiran +4 authors. N. Bokde. Computer Science.
GaitVision: Real-Time Extraction of Gait Parameters Using Residual Attention Network · Author Picture Salvatore Cuomo,; + 6. https://doi.org/10.1155/2021/ ...
This article provides a comprehensive overview of gait biometrics suited to real-time surveillance applications.
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