论文标题

相机陷阱延时记录的图像处理管道

An Image Processing Pipeline for Camera Trap Time-Lapse Recordings

论文作者

Hilton, Michael L., Yamane, Mark T., Knezevich, Leah M.

论文摘要

描述了一种新的开源图像处理管道,用于分析摄像机陷阱延时记录。该管道包括机器学习模型,以帮助人类的视频细分和动物重新识别。我们在为期一年的项目中使用了该管道的实用性的一些绩效结果和观察结果,该项目研究了Gopher Tortoise的空间生态学和社会行为。

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.

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