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Human behavioral analytics system for video surveillance

机译:用于视频监控的人身行为分析系统

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摘要

Video surveillance system is an important system to monitor safety and security for public place. Unfortunately, most of them do not have additional. In this paper, we have proposed an algorithm for detect human aggressive behavior by using Microsoft Kinect sensor. In our proposed algorithm, Cartesian coordinate formula is used for calculate position of body joints detected by Microsoft Kinect sensor. By analysis position of body joints, we can differentiate whether it is a normal or aggressive behavior. Experiment results show that our proposed method has an average accuracy of 95.83% for punching pose, and almost perfectly detected for kicking and normal behavior.
机译:视频监控系统是监控公共场所安全和安全的重要系统。不幸的是,他们中的大多数都没有额外的。在本文中,我们提出了一种通过使用Microsoft Kinect传感器来检测人类侵略性行为的算法。在我们所提出的算法中,笛卡尔坐标式配方用于计算Microsoft Kinect传感器检测到的身体接头的位置。通过分析身体关节的位置,我们可以区分它是否是正常或侵略性的行为。实验结果表明,对于冲压姿势的平均精度为95.83%,几乎完全检测到踢和正常行为。

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