文献类型：期刊文献

英文题名：A Survey of Human Action Recognition and Posture Prediction

作者：Ma, Nan[1];Wu, Zhixuan[1];Cheung, Yiu-ming[2];Guo, Yuchen[3];Gao, Yue[4];Li, Jiahong[5];Jiang, Beijyan[5]

第一作者：马楠

通讯作者：Ma, N[1]

机构：[1]Beijing Union Univ, Coll Robot, Beijing Key Lab Informat Serv Engn, Beijing 100101, Peoples R China;[2]Hong Kong Baptist Univ, Dept Comp Sci, Hong Kong 999077, Peoples R China;[3]Tsinghua Univ, Beijing Natl Res Ctr Informat Sci & Technol, Beijing 100084, Peoples R China;[4]Tsinghua Univ, Sch Software, Beijing 100084, Peoples R China;[5]Beijing Union Univ, Coll Robot, Beijing 100101, Peoples R China

第一机构：北京联合大学机器人学院|北京联合大学北京市信息服务工程重点实验室

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Robot, Beijing Key Lab Informat Serv Engn, Beijing 100101, Peoples R China.|[1141739]北京联合大学机器人学院;[11417]北京联合大学;[11417103]北京联合大学北京市信息服务工程重点实验室;

年份：2022

卷号：27

期号：6

起止页码：973-1001

外文期刊名：TSINGHUA SCIENCE AND TECHNOLOGY

收录：;EI(收录号：20222812346361);Scopus(收录号：2-s2.0-85133680058);WOS:【SCI-EXPANDED(收录号:WOS:000814631700012)】；

基金：The authors wish to thank Dian'en Zhang and Wenjuan Li from Beijing Union University, Beijing, China. We really thank anonymous reviewers' constructive suggestions. This work was supported by the National Natural Science Foundation of China (Nos. 61871038 and 61931012), the Premium Funding Project for Academic Human Resources Development of Beijing Union University (No. BPHR2020AZ02), and the Generic Pre-research Program of the Equipment Development Department in Military Commission (No. 41412040302).

语种：英文

外文关键词：Deep learning; Support vector machines; Computer vision; Conferences; Cognition; Pattern recognition; Topology; human action recognition; posture prediction; computer vision; human-computer cooperation; interactive cognition

摘要：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.