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Parallel Region-Based Level Set Method with Displacement Correction for Tracking a Single Moving Object

机译:基于位置校正的并行区域水平集方法,用于跟踪单个运动物体

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We proposed a parallel level set method with displacement correction (DC) to solve collision problems during tracking a single moving object. The major collision scenarios are that the target cell collides with other cells, air bubbles, or a wall of the water pool where cells swim. These collisions result in detected contour of the target spreading to the other obstacles which induces target missing and tracking failure. To overcome this problem, we add displacement correction to the procedure of boundary detection once the collision occurs. The intensity summation of inside detected contour is utilized to determine whether collision occurs. After the collision is detected, we translate the current level set function according to the displacement information of target cell. To clarify the ability of our proposed method, we try cell (paramecium) tracking by visual feedback controlling to keep target cell at the center of a view field under a microscope. To reduce computational time, we implement our proposed method in a column parallel vision (CPV) system. We experimentally show that the combination of our proposed method and CPV system can detect the boundary of the target cell within about 2 [ms] for each frame and robustly track cell even when the collision occurs.
机译:我们提出了一种具有位移校正(DC)的并行水平集方法,以解决跟踪单个运动物体时的碰撞问题。主要的碰撞场景是目标细胞与其他细胞,气泡或细胞游泳的水池壁碰撞。这些碰撞导致检测到的目标轮廓扩展到其他障碍物,从而导致目标丢失和跟踪失败。为了解决这个问题,一旦发生碰撞,我们将位移校正添加到边界检测过程中。利用内部检测到的轮廓的强度求和来确定是否发生碰撞。检测到碰撞后,我们根据目标单元的位移信息转换当前水平设置函数。为了阐明我们提出的方法的能力,我们尝试通过视觉反馈控制跟踪细胞(草履虫),以在显微镜下将目标细胞保持在视野的中心。为了减少计算时间,我们在列平行视觉(CPV)系统中实现了我们提出的方法。我们通过实验证明,我们提出的方法和CPV系统的组合可以在每帧约2 [ms]的时间内检测到目标单元格的边界,即使发生碰撞也可以稳健地跟踪单元格。

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