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...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for Computing Machinery
2013
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| Online Access: | http://hdl.handle.net/1721.1/76704 https://orcid.org/0000-0002-3944-0455 |