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08/20/18 |
Multiple animals tracking in video using part affinity fields
Visual observation and analysis of Vertebrate And Insect Behavior 2018. 2018 Aug 20:
In this work, we address the problem of pose detection and tracking of multiple individuals for the study of behaviour in insects and animals. Using a Deep Neural Network architecture, precise detection and association of the body parts can be performed. The models are learned based on user-annotated training videos, which gives flexibility to the approach. This is illustrated on two different animals: honeybees and mice, where very good performance in part recognition and association are observed despite the presence of multiple interacting individuals.