Automated Mouse Behavior Recognition using VGG Features and LSTM Networks
@inproceedings{Kramida2016AutomatedMB, title={Automated Mouse Behavior Recognition using VGG Features and LSTM Networks}, author={Gregory Kramida and Y. Aloimonos and C. Ferm{\"u}ller and N. Francis}, year={2016} }
We present a mouse behavior classification method using a recurrent neural network with the long short-term memory (LSTM) model. The experimental hardware used to collect the data is a custom mouse cage with four stereo-camera pairs in each wall. Using as input the different videos, our computational method employs a so-called end-to-end learning approach: visual features from pre-trained convolutional neural networks are extracted from each image frame, and used to train a customized LSTM… CONTINUE READING
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References
SHOWING 1-10 OF 10 REFERENCES
Automated home-cage behavioural phenotyping of mice.
- Computer Science, Medicine
- Nature communications
- 2010
- 197
- PDF
Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning
- Psychology, Medicine
- Proceedings of the National Academy of Sciences
- 2015
- 156
- PDF
Automatic Visual Tracking and Social Behaviour Analysis with Multiple Mice
- Medicine, Biology
- PloS one
- 2013
- 66
- PDF
Dropout: a simple way to prevent neural networks from overfitting
- Computer Science
- J. Mach. Learn. Res.
- 2014
- 21,286
- PDF
Caffe: Convolutional Architecture for Fast Feature Embedding
- Computer Science
- ACM Multimedia
- 2014
- 12,545
- PDF