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An Image Processing Pipeline for Camera Trap Time-Lapse Recordings
Conference poster   Open access

An Image Processing Pipeline for Camera Trap Time-Lapse Recordings

Michael Hilton, Mark Yamane and Leah Knezevich
Computer Vision For Animals, CV4Animals-2022 (New Orleans, 06/20/2022 - 06/20/2022)
06/20/2022

Abstract or Keywords

wildlife conservation camera trap Machine Learning

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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CV4Animals 2022 Poster-An_Image_Processing_Pipeline_for_Camera_Trap_Time-Lapse_Recordings685.79 kBDownloadView
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CV4Animals 2022 Paper - An_Image_Processing_Pipeline_for_Camera_Trap_Time-Lapse_Recordings485.98 kBDownloadView
Open Access

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