@conference {49417,
	title = {Multiple animals tracking in video using part affinity fields},
	booktitle = {Visual observation and analysis of Vertebrate And Insect Behavior 2018},
	year = {2018},
	month = {2018 Aug 20},
	abstract = {<p>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.</p>
},
	url = {http://homepages.inf.ed.ac.uk/rbf/VAIB18PAPERS/vaib18rodriguez.pdf},
	author = {Rodriguez, Ivan F and Megret, Remi and Egnor, Roian and Branson, Kristin and Agosto, Jose L and Giray, Tugrul and Acuna, Edgar}
}
