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Camera traps enable the automatic collection of large quantities of image data.
Animal recognition in the mojave desert: Vision tools for field biologists
Michael J Wilber, Walter J Scheirer, Phil Leitner, Brian Heflin, James Zott, Daniel Reinke, David K Delaney, and Terrance E Boult · 2013
Earlier work this paper cites.
Deep convolutional neural network based species recognition for wild animal monitoring
Guobin Chen, Tony X Han, Zhihai He, Roland Kays, and Tavis Forrester · 2014
Earlier work this paper cites.
Finding areas of motion in camera trap images
Agnieszka Miguel, Sara Beery, Erica Flores, Loren Klemesrud, and Rana Bayrakcismith · 2016
Earlier work this paper cites.
Animal detection from highly cluttered natural scenes using spatiotemporal object region proposals and patch verification
Zhi Zhang, Zhihai He, Guitao Cao, and Wenming Cao · 2016
Earlier work this paper cites.
Camera-trap images segmentation using multi-layer robust principal component analysis
Jhony-Heriberto Giraldo-Zuluaga, Augusto Salazar, Alexander Gomez, and Angélica Diaz-Pulido · 2017
Earlier work this paper cites.
Google earth engine: Planetary-scale geospatial analysis for everyone
Noel Gorelick, Matt Hancher, Mike Dixon, Simon Ilyushchenko, David Thau, and Rebecca Moore · 2017
Earlier work this paper cites.
Automatically identifying wild animals in camera trap images with deep learning
Mohammed Sadegh Norouzzadeh, Anh Nguyen, Margaret Kosmala, Ali Swanson, Craig Packer, and Jeff Clune · 2017
Earlier work this paper cites.
Towards automatic wild animal monitoring: Identification of animal species in camera-trap images using very deep convolutional neural networks
Alexander Gomez Villa, Augusto Salazar, and Francisco Vargas · 2017
Earlier work this paper cites.
Fast human-animal detection from highly cluttered camera-trap images using joint background modeling and deep learning classification
Hayder Yousif, Jianhe Yuan, Roland Kays, and Zhihai He · 2017
Cited alongside, same era.
Recognition in terra incognita
Sara Beery, Grant Van Horn, and Pietro Perona · 2018
Cited alongside, same era.
Deep learning object detection methods for ecological camera trap data
Stefan Schneider, Graham W Taylor, and Stefan Kremer · 2018
Cited alongside, same era.
The inaturalist species classification and detection dataset
Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alex Shepard, Hartwig Adam, Pietro Perona, and Serge Belongie · 2018
Cited alongside, same era.
The iwildcam 2019 challenge dataset
Sara Beery, Dan Morris, and Pietro Perona · 2019
Cited alongside, same era.
Geo-aware networks for fine-grained recognition
Grace Chu, Brian Potetz, Weijun Wang, Andrew Howard, Yang Song, Fernando Brucher, Thomas Leung, and Hartwig Adam · 2019
Later among the works it cites.
Class-balanced loss based on effective number of samples
Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, and Serge J. Belongie · 2019
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Presence-only geographical priors for fine-grained image classification
Oisin Mac Aodha, Elijah Cole, and Pietro Perona · 2019
Later among the works it cites.
A deep active learning system for species identification and counting in camera trap images
Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, and Jeff Clune · 2019
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Synthetic examples improve generalization for rare classes
Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Neel Joshi, Markus Meister, and Pietro Perona · 2020
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Sara Beery, Dan Morris, and Siyu Yang · 2019
Cited alongside, same era.
The iwildcam 2018 challenge dataset
Sara Beery, Grant van Horn, Oisin MacAodha, and Pietro Perona · 2019
Cited alongside, same era.
https://www.inaturalist.org/
iNaturalist
Cited in the paper.
http://lila.science/datasets/wcscameratraps
Wildlife Conservation Society Camera Traps Dataset
Cited in the paper.
USGS Landsat 8 Surface Reflectance Tier 1
Google Earth Engine
Cited in the paper.
Landsat 8 Imagery
U.S. Geological Survey
Cited in the paper.
Context r-cnn: Long term temporal context for per-camera object detection
Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, and Jonathan Huang · 2020
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Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: Mlwic2
Michael A Tabak, Mohammad S Norouzzadeh, David W Wolfson, Erica J Newton, Raoul K Boughton, Jacob S Ivan, Eric A Odell, Eric S Newkirk, Reesa Y Conrey, Jennifer L Stenglein, et al · 2020
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