基于深度学习的群体行为识别:综述与展望OA北大核心CSTPCD
Group activity recognition based on deep learning:Overview and outlook
群体行为识别是计算机视觉领域中备受关注的研究方向,在智能监控系统和体育运动分析等领域中具有广泛的应用推广价值.本文对过去七年来基于深度学习的群体行为识别方法进行了全面综述,有助于更好推动群体行为识别的发展.首先,介绍群体行为的定义、通用识别流程以及主要的挑战;其次,从群体行为识别的建模方法和内在机理进行划分,并进一步细分类、讨论和分析这些方法的优缺点;然后,给出群体行为识别的常用数据集,列举了相关的开源代码库和评估指标;最后,对该领域未来的研究方向进行了展望.
Group activity recognition has attracted much attention in the computer vision community,and it is widely applied in intelligent monitoring systems and sports video analysis.This paper provides a comprehensive review of the group activity recognition methods based on deep learning over the past seven years,which will help to promote the development of group activity recognition.First,the definition,the general recognition process,and the main challenges of group activity are introduced;Secondly,we classify the group activity recognition methods in modeling and internal mechanism,subdivide them,and further discuss the advantages and disadvantages of these methods;Thirdly,we present the common datasets of group activity recognition,the relevant open-source code libraries,and the evaluation index;Finally,we analyze the future research directions in group activity recognition.
朱晓林;王冬丽;欧阳万里;李抱朴;周彦;刘金富
湘潭大学数学与计算科学学院,湖南湘潭 411105湘潭大学自动化与电子信息学院,湖南湘潭 411105悉尼大学电气与信息工程学院,悉尼澳大利亚2006百度美国研究院,森尼韦尔美国94086湘潭大学自动化与电子信息学院,湖南湘潭 411105湘潭大学自动化与电子信息学院,湖南湘潭 411105
群体行为识别深度学习层级时序建模交互关系推理Transformer
group activity recognitiondeep learninghierarchical temporal modelinginteraction relationship reason-ingTransformer
《控制理论与应用》 2024 (12)
2207-2223,17
国家重点研发计划项目(2020YFA0713503),国家自然科学基金项目(61773330),国家航空科学基金项目(20200020114004),湖南省科技创新计划项目(2020GK2036),湖南省自然科学基金项目(2023JJ30598),湖南省研究生科研创新项目(CX20220652)资助.Supported by the National Key Research and Development Project of China(2020YFA0713503),the National Natural Science Foundation of China(61773330),the Aeronautical Science Foundation of China(20200020114004),the Science and Technology Innovation Program of Hunan Province(2020GK2036),the Natural Science Foundation of Hunan Province(2023JJ30598)and the Postgraduate Research Innovation Project of Hunan Pro-vince(CX20220652).
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