{"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":23,"journal":{"name":"ACS Photonics","volume":"23 4","pages":""},"PeriodicalIF":6.7000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Photonics","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3679011","RegionNum":1,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍：
Published as soon as accepted and summarized in monthly issues, ACS Photonics will publish Research Articles, Letters, Perspectives, and Reviews, to encompass the full scope of published research in this field.
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