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Camera traps are a valuable tool for studying biodiversity, but research using this data is limited by the speed of human annotation.
Ensemble video object cut in highly dynamic scenes
X. Ren, T. X. Han, and Z. He · 2013
Earlier work this paper cites.
Animal recognition in the mojave desert: Vision tools for field biologists
M. J. Wilber, W. J. Scheirer, P. Leitner, B. Heflin, J. Zott, D. Reinke, D. K. Delaney, and T. E. Boult · 2013
Earlier work this paper cites.
Automated identification of animal species in camera trap images
X. Yu, J. Wang, R. Kays, P. A. Jansen, T. Wang, and T. Huang · 2013
Earlier work this paper cites.
Deep convolutional neural network based species recognition for wild animal monitoring
G. Chen, T. X. Han, Z. He, R. Kays, and T. Forrester · 2014
Earlier work this paper cites.
Foreground object detection in highly dynamic scenes using saliency
K.-H. Lin, P. Khorrami, J. Wang, M. Hasegawa-Johnson, and T. S. Huang · 2014
Earlier work this paper cites.
Snapshot serengeti, high-frequency annotated camera trap images of 40 mammalian species in an african savanna
A. Swanson, M. Kosmala, C. Lintott, R. Simpson, A. Smith, and C. Packer · 2015
Cited alongside, same era.
Coupled ensemble graph cuts and object verification for animal segmentation from highly cluttered videos
Z. Zhang, T. X. Han, and Z. He · 2015
Cited alongside, same era.
Finding areas of motion in camera trap images
A. Miguel, S. Beery, E. Flores, L. Klemesrud, and R. Bayrakcismith · 2016
Cited alongside, same era.
Animal detection from highly cluttered natural scenes using spatiotemporal object region proposals and patch verification
Z. Zhang, Z. He, G. Cao, and W. Cao · 2016
Cited alongside, same era.
Global biodiversity outlook 1
S. CBD · 2017
Cited alongside, same era.
Camera-trap images segmentation using multi-layer robust principal component analysis
J.-H. Giraldo-Zuluaga, A. Salazar, A. Gomez, and A. Diaz-Pulido · 2017
Later among the works it cites.
Automatically identifying wild animals in camera trap images with deep learning
M. S. Norouzzadeh, A. Nguyen, M. Kosmala, A. Swanson, C. Packer, and J. Clune · 2017
Later among the works it cites.
Towards automatic wild animal monitoring: Identification of animal species in camera-trap images using very deep convolutional neural networks
A. G. Villa, A. Salazar, and F. Vargas · 2017
Later among the works it cites.
Fast human-animal detection from highly cluttered camera-trap images using joint background modeling and deep learning classification
H. Yousif, J. Yuan, R. Kays, and Z. He · 2017
Later among the works it cites.
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