English

An Image Processing Pipeline for Camera Trap Time-Lapse Recordings

Computer Vision and Pattern Recognition 2022-06-13 v1 Machine Learning

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.

Cite

@article{arxiv.2206.05159,
  title  = {An Image Processing Pipeline for Camera Trap Time-Lapse Recordings},
  author = {Michael L. Hilton and Mark T. Yamane and Leah M. Knezevich},
  journal= {arXiv preprint arXiv:2206.05159},
  year   = {2022}
}

Comments

5 pages, 2 figures, presented at the CV4Animals workshop of CVIP2022

R2 v1 2026-06-24T11:46:43.541Z