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Shadow detection of moving objects based on multisourcerninformation in Internet of things

机译:基于物联网中多源信息的运动物体阴影检测

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摘要

Moving object detection is an important part in intelligent video surveillance under the banner of Internet of things. The detection of moving target's shadow is also an important step in moving object detection. On the accuracy of shadow detection will affect the detection results of the object directly. Based on the variety of shadow detection method, we find that only using one feature can't make the result of detection accurately. Then we present a new method for shadow detection which contains colour information, the invariance of optical and texture feature. Through the comprehensive analysis of the detecting results of three kinds of information, the shadow was effectively determined. It gets ideal effect in the experiment when combining advantages of various methods.
机译:在物联网的旗帜下,运动对象检测是智能视频监控中的重要组成部分。运动目标阴影的检测也是运动目标检测的重要步骤。阴影检测的准确性将直接影响物体的检测结果。基于阴影检测方法的多样性,我们发现仅使用一种功能就无法准确得出检测结果。然后,我们提出了一种新的阴影检测方法,该方法包含颜色信息,光学和纹理特征的不变性。通过对三种信息检测结果的综合分析,有效地确定了阴影。综合各种方法的优点,在实验中获得理想的效果。

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