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Motion estimation using the Radon transform in dynamic scenes

机译:在动态场景中使用Radon变换进行运动估计

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Abstract: This article describes a Radon transform based method for estimating the displacement in a monocular image sequence from dynamic scenes which contain rigid moving objects. The Radon transform is used to take projections along parallel directions from two consecutive frames in a monocular image sequence while the camera is stationary. The method consists of three stages: (a) motion detection, (b) identification of moving object areas in rectangular regions, (c) motion estimation for each isolated moving object. Moving object detection and displacement measurement using this method is insensitive to sudden or gradual overall illumination changes in the sequence. The method has the capability to be implemented in real time by using pipeline architecture. Motion estimation operations using the Radon transform do not need much time. Results using synthetic and real scene images are included.!6
机译:摘要:本文介绍了一种基于Radon变换的方法,用于从包含刚性运动对象的动态场景中估计单眼图像序列中的位移。 Radon变换用于在相机静止时沿单眼图像序列中的两个连续帧沿平行方向进行投影。该方法包括三个阶段:(a)运动检测,(b)识别矩形区域中的运动对象区域,(c)对每个孤立的运动对象进行运动估计。使用此方法的运动物体检测和位移测量对序列中突然或逐渐的整体照明变化不敏感。该方法具有通过使用流水线体系结构实时实现的能力。使用Radon变换的运动估计操作不需要太多时间。包括使用合成和真实场景图像得出的结果。!6

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