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Updating a reference image for detecting motion in urban scenes

机译:更新参考图像

摘要

We present in this paper a construction and updating method of a reference image for motion detection in an urban environment .udThe proposed detection algorithm exploits differences between static edges of the scene and edges extracted from each imag eudof the sequence . It allows to detect moving objects contours and moving areas contours if the background is not uniform . Th eudreference image, robustly controlled, contains spatio temporal information of a great number of successive images . Updatedudlocally with a recursive filter, it allows to integrate, after a controlled time, objects that stop in the scene . This kind of updatingudpermits to automatically adapt with unpredictible movements of deformable or rigid objects (changes in speed and direction) . I nudaddition, analyzing edges allows to take into account global illumination changes and heterogeneity of the scene background i nudan urban environment . This approach gives good results on complex outdoor image sequences .
机译:我们在本文中提出了一种用于城市环境中运动检测的参考图像的构造和更新方法。 ud该检测算法利用场景的静态边缘与从序列的每个图像提取的边缘之间的差异。如果背景不均匀,则可以检测运动物体轮廓和运动区域轮廓。稳健控制的参考图像包含大量连续图像的时空信息。使用递归过滤器在本地进行了更新/局部更新,它允许在控制的时间之后整合在场景中停止的对象。这种更新允许自动适应可变形或刚性物体的不可预测的运动(速度和方向的变化)。此外,分析边缘可以考虑全局照明变化和城市环境中场景背景的异质性。这种方法在复杂的户外图像序列上表现良好。

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