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首页> 外文期刊>IEEE transactions on information forensics and security >Joint Intensity Transformer Network for Gait Recognition Robust Against Clothing and Carrying Status
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Joint Intensity Transformer Network for Gait Recognition Robust Against Clothing and Carrying Status

机译:联合强度互感器网络可对服装和携带者状态进行稳健的步态识别

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摘要

Clothing and carrying status variations are the two key factors that affect the performance of gait recognition because people usually wear various clothes and carry all kinds of objects, while walking in their daily life. These covariates substantially a
机译:服装和携带状态的变化是影响步态识别性能的两个关键因素,因为人们在日常生活中通常会穿各种衣服并携带各种物品。这些协变量实质上是

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