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Simultaneous Estimation of Optical Flow and Its Boundaries based on the Dynamical System Model

机译:基于动力系统模型的光流同时估计光流量及其边界

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Optical flow is a velocity vector which represents the motion of objects in video images. Optical flow estimation is difficult in the neighborhood of flow boundary. To resolve this problem, Sasagawa (2014) proposes a modified dynamical system model in which one assumes that, in the neighborhood of flow boundaries, the brightness flows in the perpendicular direction, and considers the resulting corrections to the brightness constancy constraint. However, in that model, the correction is occurred even in place where the flow is continuous. We propose a new model, which switches the conventional model and the proposed model in Sasagawa (2014). As a result, we expect improvement of the estimate accuracy in place where the flow is continuous. We conduct numerical experiments to investigate the improvements that the proposed model yields in the estimation accuracy of optical flows.
机译:光学流是一种速度矢量,表示视频图像中对象的运动。流边界附近难以难以实现光学流量估计。为了解决这个问题,Sasagawa(2014)提出了一种修改的动态系统模型,其中假设在流边界的邻域中,亮度在垂直方向上流动,并考虑得到的校正对亮度常量约束。然而,在该模型中,即使在流动是连续的地方也发生校正。我们提出了一种新的模型,它在Sasagawa(2014年)交换传统模型和拟议模型。因此,我们预计流动是连续的估计准确性的提高。我们进行数值实验,以研究所提出的模型在光学流的估计精度的提高产量的改进。

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