群体情绪识别研究综述

doi:10.3778/j.issn.1002-8331.2405-0347

摘要/Abstract

摘要： 群体情绪识别在公众场合、平安城市等场景有着重要的应用。随着人工智能的发展，人们逐渐意识到使用深度学习的方法对群体情绪研究的重要贡献。对近年来国内外相关研究工作进行系统性归纳，详细阐述了群体情绪识别领域的研究现状。着重探讨了群体情绪的特征提取方法和情绪识别研究方法，并对使用相同数据集的相关研究进行了较为全面的比较和评价。在此基础上，梳理了该研究领域的难点和问题，总结了特征提取和研究方法常用的优化方向和手段，这有助于研究者更好地了解不同情绪识别任务的特点，并为未来的研究提供了可行的研究方法和发展方向。

关键词: 计算机视觉, 深度学习, 群体情绪识别, 特征提取, 情绪模型

Abstract: The recognition of group emotions has important applications in public settings, safe cities, and other scenarios. With the development of artificial intelligence, there is a growing awareness of the significant contribution of using deep learning methods to the study of group emotions. This paper systematically summarizes recent domestic and international research efforts, elaborating on the current status of research in the field of group emotion recognition. It focuses on discussing methods for feature extraction and emotion recognition research in group emotions, and provides a comprehensive comparison and evaluation of related studies using the same dataset. Based on this, it outlines the challenges and issues in this research field, summarizes commonly used optimization directions and methods for feature extraction as well as research methods. The paper helps researchers better understand the characteristics of different emotion recognition tasks and provides feasible research methods and development directions for future studies.

Key words: computer vision, deep learning, emotion recognition of groups, feature extraction, emotion model

敬超, 吴媛媛, 谢天圻, 孙伟恒. 群体情绪识别研究综述[J]. 计算机工程与应用, 2024, 60(23): 49-61.

JING Chao, WU Yuanyuan, XIE Tianqi, SUN Weiheng. Review on Emotion Recognition in Crowds and Groups[J]. Computer Engineering and Applications, 2024, 60(23): 49-61.

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