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Non intrusive monitoring of animals in the wild is possible using camera trapping framework, which uses cameras triggered by sensors to take a burst of images of animals in their habitat.
Photographing wild game with flashlight and camera
Shiras, G.: · 1906
Earlier work this paper cites.
Ensemble video object cut in highly dynamic scenes
Ren, X., Han, T., He, Z.: · 1954
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Gradient-based learning applied to document recognition
LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: · 1998
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Camera traps in animal ecology: methods and analyses
O’Connell, A.F., Nichols, J.D., Karanth, K.U.: · 2010
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Understanding the difficulty of training deep feedforward neural networks
Glorot, X., Bengio, Y.: · 2010
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A survey on transfer learning
Pan, S.J., Yang, Q.: · 2010
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Data acquisition and management software for camera trap data: A case study from the team network
Fegraus, E.H., Lin, K., Ahumada, J.A., Baru, C., Chandra, S., Youn, C.: · 2011
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., Hinton, G.E.: · 2012
Cited alongside, same era.
Automated identification of animal species in camera trap images
Yu, X., Wang, J., Kays, R., Jansen, P.A., Wang, T., Huang, T.: · 2013
Cited alongside, same era.
Deep convolutional neural network based species recognition for wild animal monitoring
Chen, G., Han, T.X., He, Z., Kays, R., Forrester, T.: · 2014
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
Simonyan, K., Zisserman, A.: · 2014
Cited alongside, same era.
Cnn features off-the-shelf: an astounding baseline for recognition
Razavian, A., Azizpour, H., Sullivan, J., Carlsson, S.: · 2014
Cited alongside, same era.
Visualizing and understanding convolutional networks
Caffe: Convolutional architecture for fast feature embedding
Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: · 2014
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Snapshot serengeti, high-frequency annotated camera trap images of 40 mammalian species in an african savanna
Swanson, A., Kosmala, M., Lintott, C., Simpson, R., Smith, A., Packer, C.: · 2015
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Going deeper with convolutions
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: · 2015
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., Sun, J.: · 2015
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ImageNet Large Scale Visual Recognition Challenge
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., Berg, A.C., Fei-Fei, L.: · 2015
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Zeiler, M.D., Fergus, R.: · 2014
Cited alongside, same era.
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Van Horn, G., Branson, S., Farrell, R., Haber, S., Barry, J., Ipeirotis, P., Perona, P., Belongie, S.: · 2015
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