@article{Graving2019-10-01DeepP-47135,
  year={2019},
  doi={10.7554/eLife.47994},
  title={DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning},
  volume={8},
  journal={eLife},
  author={Graving, Jacob M. and Chae, Daniel and Naik, Hemal and Li, Liang and Koger, Benjamin and Costelloe, Blair R. and Couzin, Iain D.},
  note={Article Number: e47994}
}

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    <dc:creator>Naik, Hemal</dc:creator>
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    <dcterms:title>DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning</dcterms:title>
    <dc:creator>Chae, Daniel</dc:creator>
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    <dc:rights>Attribution 4.0 International</dc:rights>
    <dc:contributor>Naik, Hemal</dc:contributor>
    <dcterms:abstract xml:lang="eng">Quantitative behavioral measurements are important for answering questions across scientific disciplines-from neuroscience to ecology. State-of-the-art deep-learning methods offer major advances in data quality and detail by allowing researchers to automatically estimate locations of an animal's body parts directly from images or videos. However, currently-available animal pose estimation methods have limitations in speed and robustness. Here we introduce a new easy-to-use software toolkit, DeepPoseKit, that addresses these problems using an efficient multi-scale deep-learning model, called Stacked DenseNet, and a fast GPU-based peak-detection algorithm for estimating keypoint locations with subpixel precision. These advances improve processing speed &gt;2× with no loss in accuracy compared to currently-available methods. We demonstrate the versatility of our methods with multiple challenging animal pose estimation tasks in laboratory and field settings-including groups of interacting individuals. Our work reduces barriers to using advanced tools for measuring behavior and has broad applicability across the behavioral sciences.</dcterms:abstract>
    <dc:creator>Costelloe, Blair R.</dc:creator>
    <dc:contributor>Couzin, Iain D.</dc:contributor>
    <dc:contributor>Graving, Jacob M.</dc:contributor>
    <dc:contributor>Koger, Benjamin</dc:contributor>
    <dc:creator>Koger, Benjamin</dc:creator>
    <dc:contributor>Li, Liang</dc:contributor>
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    <dc:contributor>Costelloe, Blair R.</dc:contributor>
    <dc:contributor>Chae, Daniel</dc:contributor>
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    <dc:creator>Li, Liang</dc:creator>
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    <dc:creator>Graving, Jacob M.</dc:creator>
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