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BodySLAM: Joint Camera Localisation, Mapping, and Human Motion Tracking

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Computer Vision – ECCV 2022 (ECCV 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13699))

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Abstract

Estimating human motion from video is an active research area due to its many potential applications. Most state-of-the-art methods predict human shape and posture estimates for individual images and do not leverage the temporal information available in video. Many “in the wild" sequences of human motion are captured by a moving camera, which adds the complication of conflated camera and human motion to the estimation. We therefore present BodySLAM, a monocular SLAM system that jointly estimates the position, shape, and posture of human bodies, as well as the camera trajectory. We also introduce a novel human motion model to constrain sequential body postures and observe the scale of the scene. Through a series of experiments on video sequences of human motion captured by a moving monocular camera, we demonstrate that BodySLAM improves estimates of all human body parameters and camera poses when compared to estimating these separately.

Research presented in this paper has been supported by Dyson Technology Ltd. and the Technical University of Munich.

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Notes

  1. 1.

    We encourage the reader to view our supplementary video available at:

    https://youtu.be/0-SL3VeWEvU.

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Author information

Authors and Affiliations

  1. Imperial College London, London, UK

    Dorian F. Henning, Tristan Laidlow & Stefan Leutenegger

  2. Technische Universität München, Munich, Germany

    Stefan Leutenegger

Authors
  1. Dorian F. Henning
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  2. Tristan Laidlow
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  3. Stefan Leutenegger
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Corresponding author

Correspondence to Dorian F. Henning .

Editor information

Editors and Affiliations

  1. Tel Aviv University, Tel Aviv, Israel

    Shai Avidan

  2. University College London, London, UK

    Gabriel Brostow

  3. Google AI, Accra, Ghana

    Moustapha Cissé

  4. University of Catania, Catania, Italy

    Giovanni Maria Farinella

  5. Facebook (United States), Menlo Park, CA, USA

    Tal Hassner

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Henning, D.F., Laidlow, T., Leutenegger, S. (2022). BodySLAM: Joint Camera Localisation, Mapping, and Human Motion Tracking. In: Avidan, S., Brostow, G., Cissé, M., Farinella, G.M., Hassner, T. (eds) Computer Vision – ECCV 2022. ECCV 2022. Lecture Notes in Computer Science, vol 13699. Springer, Cham. https://doi.org/10.1007/978-3-031-19842-7_38

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  • DOI: https://doi.org/10.1007/978-3-031-19842-7_38

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