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首页 > 过刊浏览>2016年第25卷第9期 >10-16. DOI:10.15888/j.cnki.csa.005330
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人群异常识别技术研究进展
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基金项目:

国家自然科学基金（61079022）；四川省科技基金（2015JY0188）；民航局科技创新基金（20150215）；民航飞行学院科研基金（J2012-43）


Research Progress on the Crowd Abnormal Recognition Technology
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    摘要:

    人群行为分析是计算机视觉领域最活跃的研究方向之一. 有许多针对人群异常行为及检测的算法如人群密度估计、人群中运动检测、人群跟踪和群体行为识别. 在对目前人群异常行为进行总结分析，并概括出人群异常的三大关键特征. 并在次基础上，分别针对人群特征提取、异常识别技术、异常分类技术以及人群异常识别数据库方面，对人群异常识别技术现状进行总结概括，并并对存在的问题，以及未来发展方向提出了研究的建议和意见. 文章对相关领域的研究具有一定的参考价值.

    Abstract:

    Crowd analysis becomes the most active-oriented research and trendy topic in computer vision nowadays. Within the crowd, there exist many behavior anomalies or abnormalities. There are many ways of detecting these abnormalities such as crowd density estimation, crowd motion detection, crowd tracking and crowd behavior recognition. The abnormal behaviors of crowd are analyzed, and the three key features of abnormal crowd are summarized. The feature extraction, anomaly identification technology, anomalies classification and databases of the crowd are respectively summarized, and the current problems, as well as the suggestions and comments about the future direction of research are then proposed. Article has a certain reference value for the research in related fields.

    参考文献
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魏永超,庄夏,傅强.人群异常识别技术研究进展.计算机系统应用,2016,25(9):10-16

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  • 收稿日期:2015-12-18
  • 最后修改日期:2016-03-01
  • 在线发布日期: 2016-09-14
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