  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.
