Human action recognition and posture prediction aim to recognize and predict respectively the action and postures of persons in videos.They are both active research topics in computer vision community,which have attracted considerable attention from academia and industry.They are also the precondition for intelligent interaction and human-computer cooperation,and they help the machine perceive the external environment.In the past decade,tremendous progress has been made in the field,especially after the emergence of deep learning technologies.Hence,it is necessary to make a comprehensive review of recent developments.In this paper,firstly,we attempt to present the background,and then discuss research progresses.Secondly,we introduce datasets,various typical feature representation methods,and explore advanced human action recognition and posture prediction algorithms.Finally,facing the challenges in the field,this paper puts forward the research focus,and introduces the importance of action recognition and posture prediction by taking interactive cognition in self-driving vehicle as an example.

Nan Ma;Zhixuan Wu;Yiu-ming Cheung;Yuchen Guo;Yue Gao;Jiahong Li;Beijyan Jiang

Beijing Key Laboratory of Information Service Engineering,the College of Robotics,Beijing Union University,Beijing 100101,China;Department of Computer Science,Hong Kong Baptist University,Hong Kong 999077,China;Beijing National Research Center for Information Science and Technology,Tsinghua University,Beijing 100084,China;School of Software,Tsinghua University,Beijing 100084,China;College of Robotics,Beijing Union University,Beijing 100101,China

清华大学学报自然科学版（英文版）

[1]Nan Ma;Zhixuan Wu;Yiu-ming Cheung;Yuchen Guo;Yue Gao;Jiahong Li;Beijyan Jiang-.A Survey of Human Action Recognition and Posture Prediction)[J].清华大学学报自然科学版（英文版）,2022(06):973-1001

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