论文标题
一个实时区域跟踪算法，该算法量身定制为内窥镜视频，并具有开源实现
A Real-Time Region Tracking Algorithm Tailored to Endoscopic Video with Open-Source Implementation
论文作者
论文摘要
借助视频数据源，例如在荧光示踪剂给药期间获得的多光谱视频，提取时间分辨数据通常需要进行运动补偿。虽然可以手动完成，这很艰巨，也可以使用现成的对象跟踪软件（通常会产生不令人满意的性能），但我们提出了一种简单且性能的算法。最重要的是，我们提供了一个开源实现，它具有易于使用的界面，适用于不愿撰写自己的代码的研究人员以及可以通过编程方式使用的Python模块。
With a video data source, such as multispectral video acquired during administration of fluorescent tracers, extraction of time-resolved data typically requires the compensation of motion. While this can be done manually, which is arduous, or using off-the-shelf object tracking software, which often yields unsatisfactory performance, we present an algorithm which is simple and performant. Most importantly, we provide an open-source implementation, with an easy-to-use interface for researchers not inclined to write their own code, as well as Python modules that can be used programmatically.
