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An Image Processing Pipeline for Camera Trap Time-Lapse Recordings

2022/06/10 by Michael Hilton, Hilton, Michael L., Mark T. Yamane +3
Computer Science · Environmental Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #J.3 #Machine Learning (cs.LG) #Species Distribution and Climate Change #Video Surveillance and Tracking Methods

paper · pdf · doi:10.48550/arxiv.2206.05159

openalex publication_date 2022/06/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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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