如何通过动作识别改进视频分析？一项调查

IF 23.8 1区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS

ACM Computing Surveys Pub Date : 2024-08-08 DOI:10.1145/3679011

Gayathri T, Mamatha Hr

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引用次数: 0

摘要

动作识别是指通过识别视频中的特定动作并对其进行分类的过程。视频源于多个领域，而在视频分析的每个领域中，理解动作具有至关重要的意义。本研究的主要目的是帮助学者理解、比较和使用多个视频分析领域中的动作识别模型。本文对动作识别模型进行了全面分析，比较了这些模型的性能和计算要求。此外，它还对基准数据集进行了详细概述，这有助于选择最合适的动作识别模型。本综述还探讨了动作识别的各种应用、可用数据集、已开展的研究、潜在的未来前景以及遇到的挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.

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来源期刊

ACM Computing Surveys 工程技术-计算机：理论方法

CiteScore

33.20

自引率

0.60%

发文量

372

审稿时长

12 months

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.