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MOTION TARGET SHADOW DETECTION METHOD AND SYSTEM IN MONITORING VIDEO

机译:视频监控中的运动目标阴影检测方法及系统

摘要

A motion target shadow detection method in a monitoring video. The method comprises: in a three-primary-colour colour ratio space of a motion foreground/video background in a monitoring video, establishing a 3D Gaussian probability model of a shadow and initializing a model parameter (S1); detecting a motion foreground region and updating the video background of a current frame image in the monitoring video, and mapping each pixel in the motion foreground region to the three-primary-colour colour ratio space of the motion foreground/video background (S2); judging each pixel in the motion foreground region obtained in step (S2) using the established 3D Gaussian probability model of the shadow, and detecting and differentiating a shadow pixel and a motion target pixel (S3); obtaining data of all shadow pixel points using detection in step (S3) and updating the parameter of the 3D Gaussian probability model of the shadow (S4); and returning to step (S2) to perform motion region shadow detection on a new frame of video image (S5). The method better solves the problems of difficulties in setting parameters in shadow detection technology for a motion target, the failure to self-adapt a scene lighting change and a large volume of computation in existing monitoring video.
机译:监视视频中的运动目标阴影检测方法。该方法包括:在监视视频中的运动前景/视频背景的三基色比空间中,建立阴影的3D高斯概率模型并初始化模型参数(S1);检测运动前景区域并更新监视视频中当前帧图像的视频背景,并将运动前景区域中的每个像素映射到运动前景/视频背景的三基色比空间(S2);使用建立的阴影的3D高斯概率模型判断在步骤(S2)中获得的运动前景区域中的每个像素,并检测和区分阴影像素和运动目标像素(S3);通过步骤(S3)中的检测获得所有阴影像素点的数据,并更新阴影的3D高斯概率模型的参数(S4);返回步骤(S2),对视频图像的新帧进行运动区域阴影检测(S5)。该方法较好地解决了现有运动视频的阴影检测技术中难以设置参数,场景照明变化无法自适应,计算量大的难题。

著录项

  • 公开/公告号WO2017054455A1

    专利类型

  • 公开/公告日2017-04-06

    原文格式PDF

  • 申请/专利权人 SHENZHEN UNIVERSITY;

    申请/专利号WO2016CN81482

  • 发明设计人 PEI JIHONG;XIE WEIXIN;LI BAOLIN;YANG XUAN;

    申请日2016-05-10

  • 分类号G06T7/20;

  • 国家 WO

  • 入库时间 2022-08-21 13:31:31

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