论文标题
FastTrack：用于跟踪不同数量可变形对象的开源软件
FastTrack: an open-source software for tracking varying numbers of deformable objects
论文作者
论文摘要
分析移动对象的动力学属性需要从录音中提取轨迹，这通常是通过跟踪电影来完成的。我们为非常不同的生物学和物理系统编辑了一个二维电影的数据库，这些系统涵盖了广泛的长度尺度，并开发了通用，优化，开放式，开源，跨平台，易于安装和使用，称为FastTrack。它可以处理感兴趣区域中变化数量的可变形物体，并且特别适合二维中的动物和细胞跟踪。此外，我们介绍了入侵的可能性，这是电影的可跟踪性的新量度，该方法不需要地面真理轨迹的知识，因为它可以抵御少量错误，并且可以根据临时跟踪进行计算。我们还利用了FastTrack的多功能性和速度来实现一种迭代算法，以确定一组几乎优化的跟踪参数 - 但进一步降低了人类干预量的数量 - 并证明可以使用FastTrack来探索跟踪参数的空间，以最大程度地为类似电影的批量施加量数量。基准测试表明，FastTrack的数量级比最新的跟踪算法快，具有可比的跟踪精度。源代码可在https://github.com/fasttrackorg/fastTrack和Windows的预编译二进制文件的GNU GPLV3下可用，可在http://wwwww.fasttrack.sh上获得。
Analyzing the dynamical properties of mobile objects requires to extract trajectories from recordings, which is often done by tracking movies. We compiled a database of two-dimensional movies for very different biological and physical systems spanning a wide range of length scales and developed a general-purpose, optimized, open-source, cross-platform, easy to install and use, self-updating software called FastTrack. It can handle a changing number of deformable objects in a region of interest, and is particularly suitable for animal and cell tracking in two-dimensions. Furthermore, we introduce the probability of incursions as a new measure of a movie's trackability that doesn't require the knowledge of ground truth trajectories, since it is resilient to small amounts of errors and can be computed on the basis of an ad hoc tracking. We also leveraged the versatility and speed of FastTrack to implement an iterative algorithm determining a set of nearly-optimized tracking parameters -- yet further reducing the amount of human intervention -- and demonstrate that FastTrack can be used to explore the space of tracking parameters to optimize the number of swaps for a batch of similar movies. A benchmark shows that FastTrack is orders of magnitude faster than state-of-the-art tracking algorithms, with a comparable tracking accuracy. The source code is available under the GNU GPLv3 at https://github.com/FastTrackOrg/FastTrack and pre-compiled binaries for Windows, Mac and Linux are available at http://www.fasttrack.sh.
