Learning discriminative representation with global and fine‐grained features for cross‐view gait recognition

Learning discriminative representation with global and fine‐grained features for cross‐view gait recognition

Abstract In this study, we examine the cross‐view gait recognition problem. Many existing methods establish global feature representation based on the whole human body shape. However, they ignore some important details of different parts of the human body. In the latest literature, positioning parti...

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Bibliographic Details
Main Authors: Jing Xiao, Huan Yang, Kun Xie, Jia Zhu, Ji Zhang
Format: Article
Language:English
Published: Wiley 2022-06-01
Series:CAAI Transactions on Intelligence Technology
Subjects:
feature extraction
object recognition
image recognition
gait analysis
learning (artificial intelligence)
Online Access:https://doi.org/10.1049/cit2.12051

Internet

https://doi.org/10.1049/cit2.12051

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