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Continuous overlap pursuit method to detect moving objects in natural scenes

机译:连续重叠追踪法在自然场景中检测运动物体

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To detect moving objects in natural scenes by image data, the authors have developed an object detection algorithm called the continuous overlap pursuit (COP) method. The COP method, which uses continuous plural image data and pursues difference images, can detect moving objects even with much background noise such as swinging trees, white noise, and changes of brightness and other factors in the image data. The COP method is constructed by basic image processing, so it is applied easily to image processing hardware for real-time recognition.
机译:为了通过图像数据检测自然场景中的运动物体,作者开发了一种物体检测算法,称为连续重叠追踪(COP)方法。 COP方法使用连续的多个图像数据并追求差分图像,即使图像数据中的树木,白噪声,亮度变化和其他因素等背景噪声较大,也可以检测运动物体。 COP方法是通过基本图像处理构建的,因此很容易应用于实时识别的图像处理硬件。

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