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Vision-Based Recognition of Mice Home-Cage Behaviors

We describe a trainable computer vision system enabling the automated analysis of complex mouse behaviors. We also collect and manually annotate a very large video database used for training and testing the system. Our system performs on par with human scoring, as measured from the ground-truth manual annotations. Our video-based software should complement existing sensor based automated approaches and help develop an adaptable, comprehensive, high-throughput, fine-grained, automated analysis of mouse behavior.