Beginner
Articles
The Art and Science of Camera Trapping, Ryan Valdez
Camera trapping for conservation: A guide to best practices, Oliver Wearn & Paul Glover-Kapfer
A Practical Guide to Using Camera Traps for Wildlife Monitoring in Natural Resource Management Projects, Shaun William Molloy
"Which camera trap type and how many do I need?” A review of camera features and study designs for a range of wildlife research applications, Francesco Rovero et al.
Camera Trap Recommendations, eMammal
Get Started With Camera Traps to Nab Unusual Bird Photos, Jen Guyton
Advanced
Stay up to date
WILDLABS: Camera Trap Community
WILDLABS: Computer Vision Community
Mongabay: Camera Trapping News
The Conversation: Camera Traps
Books
Camera Trapping Guide: Tracks, Sign, and Behavior of Eastern Wildlife, Janet Pesaturo
Candid Creatures: How Camera Traps Reveal the Mysteries of Nature, Roland Kays
Camera Trapping: Wildlife Management and Research, Paul Meek et al.
Camera Trapping for Wildlife Research (Data in the Wild), Francesco Rovero & Fridolin Zimmerman
Videos
We've collated these videos into a Camera Trapping playlist on the WILDLABS Youtube Channel.
Camera Setup 2016, Smithsonian eMammal
Camera Trapping 101 Installing your camera trap, Robert Vennell (Ecology Ngātahi)
Camera Trap 101 - Why camera trap for wildlife photography?, Tom Mason
How (Not) to Camera Trap in the Amazon Rainforest, Phil Torres
My Nature Watch - DIY wildlife camera, Bill Gaver and Mike Vanis
WILDLABS Virtual Meetup: Camera Trapping
Software and Workflows
Timelapse, Saul Greenberg, University of Calgary
Camera Base, Mathias Tobler, San Diego Zoo Global
Agouti, Wageningen University & INBO
Wildlife Insights, Conservation International, NCMNS, WCS, & more
Zooniverse, University of Minnesota
MammalWeb, Durham University
Instant Wild, Zoological Society of London
ViXeN, Ramachandran & Devarajan
camtrapR, Niedballa et al.
Hardware
5 Most common trail camera myths, Trail Cam Pro
HALT Camera Trap (for Herpetofauna and small mammals), Hobbs Ecology
NextGen Camera Trap Project, Conservation X Labs
Computer Vision
Groups
Papers
Synthetic Examples Improve Generalization for Rare Classes, Beery et al,2019
Camera‐trapping version 3.0: current constraints and future priorities for development, Glover-Kapfer et al., 2019
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning, Norouzzadeh et al, 2018
An Animal Detection Pipeline for Identification, Parham et al, 2018
Machine learning to classify animal species in camera trap images: Applications in ecology, Tabak et al, 2019
Responsible AI for Conservation, Wearn et al, 2019
Identifying animal species in camera trap images using deep learning and citizen science, Willi et al, 2018
A transient search using combined human and machine classifications, Wright et al, 2017
Fast human-animal detection from highly cluttered camera-trap images using joint background modeling and deep learning classification, Yousif et al, 2017
Models & Tools
WAMCam (Wildlife Advanced Monitoring Camera)
Sensing Clues (Jan Kees)
PoacherCam (Panthera)
Image Classifier, Willi et al.
Microsoft AI for Earth - Megadetector
AnDeNet (Animal Detection Network), Ersts & Horning
Datasets
Tigers from Rajaji National Park, Uttarakhand
If this list isn't enough and you want more, check out Everything I know about Machine Learning and Camera Traps, compiled by Dan Morris.
About the Author
Arie Hammond is based at the San Diego Zoo Global Library, and is developing camera trap computer vision and digital curation practices with the Ecological Data Management research team at Rutgers. She also serves on the tech committee for Wildlife Insights, and as membership chair for SLA San Diego.
Header image: Jeremy Holden/FFI
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