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Body-tracking camera control for demonstration videos

Published: 27 April 2013 Publication History

Abstract

A large community of users creates and shares how-to videos online. Many of these videos show demonstrations of physical tasks, such as fixing a machine, assembling furniture, or demonstrating dance steps. It is often difficult for the authors of these videos to control camera focus, view, and position while performing their tasks. To help authors produce videos, we introduce Kinectograph, a recording device that automatically pans and tilts to follow specific body parts, e.g., hands, of a user in a video. It utilizes a Kinect depth sensor to track skeletal data and adjusts the camera angle via a 2D pan-tilt gimbal mount. Users control and configure Kinectograph through a tablet application with real-time video preview. An informal user study suggests that users prefer to record and share videos with Kinectograph, as it enables authors to focus on performing their demonstration tasks.

References

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Fussell, S.R., Setlock, L.D., and Kraut, R.E. Effects of head-mounted and scene-oriented video systems on remote collaboration on physical tasks. CHI'03 (2003).
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Gurevich, P., Lanir, J., Cohen, B., and Stone, R. TeleAdvisor: a versatile augmented reality tool for remote assistance. In CHI'12, ACM Press (2012).
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Okumura, K., Oku, H., and Ishikawa, M. Highspeed gaze controller for millisecond-order pan/tilt camera. ICRA 2011: IEEE International Conference on Robotics and Automation (2011).
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Polycom. UC solutions for telepresence, video conferencing and voice. Available at: http://www.polycom.com/ (2012)
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Shotton, J., Fitzgibbon, A., Cook, M., et al. Realtime human pose recognition in parts from single depth images. In CVPR (2011).
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Swivl. Personal cameraman for hands free video. Available at: http://www.swivl.com/ (2012)
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Torrey, C., McDonald, D.W., Schilit, B.N., and Bly, S. How-To pages: Informal systems of expertise sharing. In ECSCW 2007 (2007), 391--410.
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Torrey, C., Churchill, E.F., and McDonald, D.W. Learning How: The Search for Craft Knowledge on the Internet. In CHI'09, AMC Press (2009), 1371--1380. 2.
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Wilson, A., Benko, H., Izadi, S., and Hilliges, O. Steerable augmented reality with the beamatron. In UIST'12, ACM Press (2012), 413--422.

Cited By

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  • (2023)Dr.’s Eye: The Design and Evaluation of a Video Conferencing System to Support Doctor Appointments in Home SettingsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581350(1-18)Online publication date: 19-Apr-2023
  • (2022)Body Posture Detection and Motion Tracking using AI for Medical Exercises and Recommendation SystemITM Web of Conferences10.1051/itmconf/2022440304344(03043)Online publication date: 5-May-2022
  • (2021)DanceTutor: An ITS for Coaching Novice Ballet Dancers Using Pose Recognition of Whole-Body MovementsArtificial Intelligence in Education10.1007/978-3-030-78270-2_47(262-266)Online publication date: 14-Jun-2021
  • Show More Cited By

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  1. Body-tracking camera control for demonstration videos

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    Published In

    cover image ACM Conferences
    CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems
    April 2013
    3360 pages
    ISBN:9781450319522
    DOI:10.1145/2468356
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 27 April 2013

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    Author Tags

    1. camera
    2. capturing tools
    3. diy
    4. how-to
    5. kinect
    6. motion tracking
    7. videos

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    CHI EA '13 Paper Acceptance Rate 630 of 1,963 submissions, 32%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    CHI '25
    CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2025
    Yokohama , Japan

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    Cited By

    View all
    • (2023)Dr.’s Eye: The Design and Evaluation of a Video Conferencing System to Support Doctor Appointments in Home SettingsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581350(1-18)Online publication date: 19-Apr-2023
    • (2022)Body Posture Detection and Motion Tracking using AI for Medical Exercises and Recommendation SystemITM Web of Conferences10.1051/itmconf/2022440304344(03043)Online publication date: 5-May-2022
    • (2021)DanceTutor: An ITS for Coaching Novice Ballet Dancers Using Pose Recognition of Whole-Body MovementsArtificial Intelligence in Education10.1007/978-3-030-78270-2_47(262-266)Online publication date: 14-Jun-2021
    • (2018)Scoping Review of Systems to Train Psychomotor Skills in Hearing Impaired ChildrenSensors10.3390/s1808254618:8(2546)Online publication date: 3-Aug-2018
    • (2017)Using Swivl Robotic Technology in Teacher Education Preparation: A Pilot StudyTechTrends10.1007/s11528-017-0246-562:2(184-189)Online publication date: 27-Dec-2017
    • (2016)Correcting Exercise Form Using Body TrackingProceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems10.1145/2851581.2892519(3028-3034)Online publication date: 7-May-2016

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