A Real-Time Region Tracking Algorithm Tailored to Endoscopic Video with Open-Source Implementation
This addresses the need for efficient region tracking in medical imaging, particularly for researchers using endoscopic video, though it appears incremental as it builds on existing tracking methods.
The paper tackles the problem of motion compensation in endoscopic video for extracting time-resolved data, presenting a simple and performant algorithm with an open-source implementation.
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.