Convolutional spatio-temporal sequential inference model for human interaction behavior recognition

IntroductionHuman action recognition is a critical task with broad applications and remains a challenging problem due to the complexity of modeling dynamic interactions between individuals. Existing methods, including skeleton sequence-based and RGB video-based models, have achieved impressive accur...

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Bibliographic Details
Main Authors: Lizhong Jin, Rulong Fan, Xiaoling Han, Xueying Cui
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Computer Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcomp.2025.1576775/full
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