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Multiple sperm tracking in microscopic videos using modified GM-PHD filter

机译:使用改进的GM-PHD滤镜在显微视频中跟踪多个精子

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摘要

Abstract This paper presents a method for simultaneous tracking of multiple sperms using modified Gaussian mixture probability hypothesis density (GM-PHD) filter. In order to track sperms with spurious motion, a modified model is presented to adapt the GM-PHD filter for nonlinear dynamic movement of sperms. Furthermore, the “pruning” step in the GM-PHD filter is modified to handle situations like occlusion or closely moving targets. Our experiments demonstrate more effectivity of the proposed method in terms of sperms’ occlusion handling and trajectory extraction compared to the conventional GM-PHD filter. In particular, the new method performs well in managing the labels of occluded sperms after separation and in tracking of temporarily disappeared sperms when they emerge again in the tracking space.
机译:摘要本文提出了一种使用改进的高斯混合概率假设密度(GM-PHD)滤波器同时跟踪多个精子的方法。为了跟踪具有虚假运动的精子,提出了一种修改模型,使GM-PHD滤波器适用于精子的非线性动态运动。此外,修改了GM-PHD过滤器中的“修剪”步骤,以处理诸如遮挡或目标近距离移动的情况。我们的实验证明,与传统的GM-PHD滤镜相比,该方法在精子的遮挡处理和轨迹提取方面更具有效性。尤其是,新方法在管理分离后的闭塞精子标签以及跟踪暂时消失的精子在跟踪空间中再次出现时的跟踪效果很好。

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