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Research on the Image Detection of Moving Objects in Natural Environment

机译:自然环境中移动物体的图像检测研究

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This paper proposed a new solution to the situation that the moving objects detection in natural environment might be disturbed by some natural conditions, such as wind, light, etc. Firstly, the background image was modeled with Gaussian mixture models, to eliminate the interference of some slight and cyclical movements caused by wind, like branches' swinging. Secondly, the foreground was segmented through background subtraction, and the background model was updated to adapt to the gradual change of illumination. Finally, the shadows of moving objects were detected and removed in HSV color model, meaning that the detection was completed. The experiment verified that the solution above can effectively realize the preliminary detection of moving objects in natural environment.
机译:本文提出了一种新的解决方案,即移动物体在自然环境中检测的移动物体检测可能受到风,光,光等的一些自然条件的干扰。首先,背景图像用高斯混合模型建模,以消除干扰风造成的一些轻微和周期性的运动,如树枝摇摆。其次,前景通过背景减法进行分段,更新背景模型以适应逐渐变化的照明。最后,在HSV颜色模型中检测和移除移动物体的阴影,这意味着检测完成。实验证实,上述解决方案可以有效地实现自然环境中移动物体的初步检测。

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