Trainable, vision-based automated home cage behavioral phenotyping

Trainable, vision-based automated home cage behavioral phenotyping

We describe a fully trainable computer vision system enabling the automated analysis of complex mouse behaviors. Our system computes a sequence of feature descriptors for each video sequence and a classifier is used to learn a mapping from these features to behaviors of interest. We collected a very...

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Bibliographic Details
Main Authors: Jhuang, Hueihan (Contributor), Garrote, Estibaliz (Contributor), Edelman, Nicholas (Contributor), Poggio, Tomaso A. (Contributor), Steele, Andrew (Author), Serre, Thomas J. (Author)
Other Authors: McGovern Institute for Brain Research at MIT (Contributor), Poggio, Tomaso (Contributor), Serre, Thomas (Contributor)
Format: Article
Language:English
Published: Association for Computing Machinery, 2013-01-31T19:26:28Z.
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