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Parsing human skeletons in an operating room

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Abstract

Multiple human pose estimation is an important yet challenging problem. In an operating room (OR) environment, the 3D body poses of surgeons and medical staff can provide important clues for surgical workflow analysis. For that purpose, we propose an algorithm for localizing and recovering body poses of multiple human in an OR environment under a multi-camera setup. Our model builds on 3D Pictorial Structures and 2D body part localization across all camera views, using convolutional neural networks (ConvNets). To evaluate our algorithm, we introduce a dataset captured in a real OR environment. Our dataset is unique, challenging and publicly available with annotated ground truths. Our proposed algorithm yields to promising pose estimation results on this dataset.

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Notes

  1. http://campar.in.tum.de/Chair/MultiHumanOR.

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Acknowledgments

This work was supported in part by the Swiss National Science Foundation and by DFG - Deutsche Forschungsgemeinschaft under the project “Advanced Learning for Tracking and Detection in Medical Workflow Analysis”. The authors would like to thank Iro Laina for helping with the data preparation.

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Authors and Affiliations

  1. Computer Aided Medical Procedures, Technische Universität München, Munich, Germany

    Vasileios Belagiannis, Ralf Stauder, Slobodan Ilic & Nassir Navab

  2. VGG, University of Oxford, Oxford, UK

    Vasileios Belagiannis

  3. CVLAB, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

    Xinchao Wang, Horesh Beny Ben Shitrit & Pascal Fua

  4. Aoki Media Sensing Lab, Keio University, Tokyo, Japan

    Kiyoshi Hashimoto & Yoshimitsu Aoki

  5. MITI, Klinikum rechts der Isar, Technische Universität München, Munich, Germany

    Michael Kranzfelder, Armin Schneider & Hubertus Feussner

  6. Siemens AG, Munich, Germany

    Slobodan Ilic

  7. Johns Hopkins University, Baltimore, MD, USA

    Nassir Navab

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  1. Vasileios Belagiannis
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  2. Xinchao Wang
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Correspondence to Vasileios Belagiannis.

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Belagiannis, V., Wang, X., Shitrit, H.B.B. et al. Parsing human skeletons in an operating room. Machine Vision and Applications 27, 1035–1046 (2016). https://doi.org/10.1007/s00138-016-0792-4

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  • DOI: https://doi.org/10.1007/s00138-016-0792-4

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