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A Measurement Method for Speed Distribution of Collective Motion with Optical Flow and Its Applications to School of Fish

机译:光学运动中集体运动速度分布的测量方法及其在鱼群中的应用

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We propose a measurement method for the mean speed distribution of collective motions of highly dense groups with optical flow based on our previous work. This measurement is fundamental for ecological investigations and mathematical modeling of collective animal behaviors. Our method is applicable to highly dense homogeneous groups wherein individual movements are approximately uniform locally. To measure speed distributions, we partition a group into regions and estimate mean speeds in each region by extracting only flows that are relevant to collective motions and averaging them over a period of time. We apply our method to schools of sardines to measure a kind of speed distribution called rotation curve (RC). As experiments, we first performed simulations and found that our method can estimate flows and RCs accurately. We then performed experiments with videos of real fish. The RCs estimated by our method and ones by manual tracking were approximately equal. We applied our method to a longer video and confirmed that time series of RCs can be estimated automatically. In addition, we detected noticeable events by two features derived from flows. We also applied our method to a school of anchovies. The results indicate that our method is practically useful.
机译:基于我们以前的工作,我们提出了一种测量高密度群体光运动集体运动平均速度分布的测量方法。这种测量是生态研究和集体动物行为数学建模的基础。我们的方法适用于个别运动在局部近似均匀的高密度同质基团。为了测量速度分布,我们将组划分为多个区域,并通过仅提取与集体运动相关的流并将它们在一段时间内取平均,来估计每个区域的平均速度。我们将我们的方法应用于沙丁鱼派来测量一种称为旋转曲线(RC)的速度分布。作为实验,我们首先进行了仿真,发现我们的方法可以准确估算流量和RC。然后,我们用真实鱼的视频进行了实验。通过我们的方法估算的RC和通过手动跟踪估算的RC大致相等。我们将我们的方法应用于更长的视频,并确认可以自动估计RC的时间序列。另外,我们通过从流派生的两个特征检测到明显的事件。我们还将我们的方法应用于凤尾鱼学校。结果表明我们的方法是实用的。

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