  A new open-source image processing pipeline for analyzing camera trap
time-lapse recordings is described. This pipeline includes machine learning
models to assist human-in-the-loop video segmentation and animal
re-identification. We present some performance results and observations on the
utility of this pipeline after using it in a year-long project studying the
spatial ecology and social behavior of the gopher tortoise.
