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DETECTING MOVING OBJECTS FROM OMNIDIRECTIONAL DYNAMIC IMAGES BASED ON ADAPTIVE BACKGROUND SUBTRACTION

机译:根据自适应背景减法检测来自全向动态图像的移动对象

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This paper describes a new method for detecting moving objects with an omnidirectional camera. The proposed method uses a fixed omnidirectional camera which can acquire images surrounding the camera and a background subtraction technique based on adaptively updating background images. In subtracting the background image from the input image, we consider the oscillation of intensity so that the proposed method can robustly detect moving objects under the condition that there are fluorescent lights and incoming lights from windows. In experiments, moving objects have been successfully detected in indoor environments.
机译:本文介绍了一种用全向相机检测移动物体的新方法。该方法使用固定的全向相机,其可以获取相机围绕相机的图像和基于自适应更新背景图像的背景减法技术。在从输入图像中减去背景图像时,我们考虑强度的振荡,使得所提出的方法可以在荧光灯和来自窗口的入口灯的条件下鲁棒地检测移动物体。在实验中,在室内环境中成功地检测到移动物体。

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