{"title":"如何通过动作识别改进视频分析？一项调查","authors":"Gayathri T, Mamatha Hr","doi":"10.1145/3679011","DOIUrl":null,"url":null,"abstract":"Action recognition refers to the process of categorizing a video by identifying and classifying the specific actions it encompasses. Videos originate from several domains, and within each domain of video analysis, comprehending actions holds paramount significance. The primary aim of this research is to assist scholars in understanding, comparing, and using action recognition models within the several fields of video analysis. This paper provides a comprehensive analysis of action recognition models, comparing their performance and computational requirements. Additionally, it presents a detailed overview of benchmark datasets, which can aid in selecting the most suitable action recognition model. This review additionally examines the diverse applications of action recognition, the datasets available, the research that has been undertaken, potential future prospects, and the challenges encountered.","PeriodicalId":50926,"journal":{"name":"ACM Computing Surveys","volume":null,"pages":null},"PeriodicalIF":23.8000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How to Improve Video Analytics with Action Recognition: A Survey\",\"authors\":\"Gayathri T, Mamatha Hr\",\"doi\":\"10.1145/3679011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Action recognition refers to the process of categorizing a video by identifying and classifying the specific actions it encompasses. Videos originate from several domains, and within each domain of video analysis, comprehending actions holds paramount significance. The primary aim of this research is to assist scholars in understanding, comparing, and using action recognition models within the several fields of video analysis. This paper provides a comprehensive analysis of action recognition models, comparing their performance and computational requirements. Additionally, it presents a detailed overview of benchmark datasets, which can aid in selecting the most suitable action recognition model. This review additionally examines the diverse applications of action recognition, the datasets available, the research that has been undertaken, potential future prospects, and the challenges encountered.\",\"PeriodicalId\":50926,\"journal\":{\"name\":\"ACM Computing Surveys\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":23.8000,\"publicationDate\":\"2024-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Computing Surveys\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1145/3679011\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Computing Surveys","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3679011","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
How to Improve Video Analytics with Action Recognition: A Survey
Action recognition refers to the process of categorizing a video by identifying and classifying the specific actions it encompasses. Videos originate from several domains, and within each domain of video analysis, comprehending actions holds paramount significance. The primary aim of this research is to assist scholars in understanding, comparing, and using action recognition models within the several fields of video analysis. This paper provides a comprehensive analysis of action recognition models, comparing their performance and computational requirements. Additionally, it presents a detailed overview of benchmark datasets, which can aid in selecting the most suitable action recognition model. This review additionally examines the diverse applications of action recognition, the datasets available, the research that has been undertaken, potential future prospects, and the challenges encountered.
期刊介绍：
ACM Computing Surveys is an academic journal that focuses on publishing surveys and tutorials on various areas of computing research and practice. The journal aims to provide comprehensive and easily understandable articles that guide readers through the literature and help them understand topics outside their specialties. In terms of impact, CSUR has a high reputation with a 2022 Impact Factor of 16.6. It is ranked 3rd out of 111 journals in the field of Computer Science Theory & Methods.
ACM Computing Surveys is indexed and abstracted in various services, including AI2 Semantic Scholar, Baidu, Clarivate/ISI: JCR, CNKI, DeepDyve, DTU, EBSCO: EDS/HOST, and IET Inspec, among others.
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