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.
翻译:描述介绍了用于分析相机陷阱时间跨时记录的新开源图像处理管道,包括协助流动人视频分割和动物再识别的机器学习模型。 我们介绍了在使用该管道进行为期一年的项目研究地鼠乌龟的空间生态和社会行为后,我们对这一管道的实用性提出了一些绩效结果和观察。