An Image Processing Pipeline for Camera Trap Time-Lapse Recordings
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 5 of its 15 references that are in the map. First posted on arXiv 10 Jun 2022.
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References · 5
- 2017Mask R-CNNcited by 7,259
- 2014How transferable are features in deep neural networks?cited by 1,216
- 2019EfficientDet: Scalable and Efficient Object Detectioncited by 1,018
- 2016Speed/accuracy trade-offs for modern convolutional object detectorscited by 198
- 2019Similarity Learning Networks for Animal Individual Re-Identification -- Beyond the Capabilities of a Human Observercited by 18
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