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Abnormal Crowd Behavior Detection using Image Processing

机译:使用图像处理检测异常人群行为

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Crowd Management and Abnormal crowd behavior detection is an important research topic in computer vision. There are many instances in which thousands of people are killed due stampedes, panic etc. Abnormal Crowd Behavior Detection is not only needed research topic but also the direct help to saving these lives. However, there is not much of research done on the prediction and detection of such Abnormal Behavior Detection. Our system will be able to detect abnormal crowd behavior using Motion History Image and Optical Flow technique. Optical flow is used to predict the magnitude and direction of velocity which is later used with a predefined threshold to classify the video.
机译:人群管理和异常人群行为检测是计算机愿景中的一个重要研究课题。有许多情况下,成千上万的人被杀死的爆发,恐慌等人群行为检测不仅需要研究主题,而且还有直接帮助拯救这些生命。然而,在预测和检测这种异常行为检测的预测和检测中没有多大的研究。我们的系统将能够使用运动历史图像和光学流动技术来检测异常的人群行为。光学流用于预测稍后与预定阈值一起使用的速度的速度和方向以对视频进行分类。

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