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Pitching a baseball: tracking high-speed motion with multi-exposure images

Published: 01 August 2004 Publication History

Abstract

Athletes and coaches in most professional sports make use of high-tech equipment to analyze and, subsequently, improve the athlete's performance. High-speed video cameras are employed, for instance, to record the swing of a golf club or a tennis racket, the movement of the feet while running, and the body motion in apparatus gymnastics. High-tech and high-speed equipment, however, usually implies high-cost as well. In this paper, we present a passive optical approach to capture high-speed motion using multi-exposure images obtained with low-cost commodity still cameras and a stroboscope. The recorded motion remains completely undisturbed by the motion capture process. We apply our approach to capture the motion of hand and ball for a variety of baseball pitches and present algorithms to automatically track the position, velocity, rotation axis, and spin of the ball along its trajectory. To demonstrate the validity of our setup and algorithms, we analyze the consistency of our measurements with a physically based model that predicts the trajectory of a spinning baseball. Our approach can be applied to capture a wide variety of other high-speed objects and activities such as golfing, bowling, or tennis for visualization as well as analysis purposes.

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Cited By

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  • (2024)Using a Sensor-Embedded Baseball to Identify Finger Characteristics Related to Spin Rate and Pitching Velocity in PitchersSensors10.3390/s2411352324:11(3523)Online publication date: 30-May-2024
  • (2020)DexPilot: Vision-Based Teleoperation of Dexterous Robotic Hand-Arm System2020 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA40945.2020.9197124(9164-9170)Online publication date: May-2020
  • (2017)Motion-Blur-Free High-Speed Video Shooting Using a Resonant MirrorSensors10.3390/s1711248317:11(2483)Online publication date: 29-Oct-2017
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Published In

cover image ACM Conferences
SIGGRAPH '04: ACM SIGGRAPH 2004 Papers
August 2004
684 pages
ISBN:9781450378239
DOI:10.1145/1186562
  • Editor:
  • Joe Marks
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 01 August 2004

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Author Tags

  1. high-speed motion capture
  2. multi-exposure images
  3. physically based validation
  4. pitching and flight of baseball

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SIGGRAPH '04 Paper Acceptance Rate 83 of 478 submissions, 17%;
Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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Cited By

View all
  • (2024)Using a Sensor-Embedded Baseball to Identify Finger Characteristics Related to Spin Rate and Pitching Velocity in PitchersSensors10.3390/s2411352324:11(3523)Online publication date: 30-May-2024
  • (2020)DexPilot: Vision-Based Teleoperation of Dexterous Robotic Hand-Arm System2020 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA40945.2020.9197124(9164-9170)Online publication date: May-2020
  • (2017)Motion-Blur-Free High-Speed Video Shooting Using a Resonant MirrorSensors10.3390/s1711248317:11(2483)Online publication date: 29-Oct-2017
  • (2015)Quantifying the Effect of a Colored Glove in the 3D Tracking of a Human HandProceedings of the 10th International Conference on Computer Vision Systems - Volume 916310.1007/978-3-319-20904-3_36(404-414)Online publication date: 6-Jul-2015
  • (2014)Hand Parsing and Gesture Recognition with a Commodity Depth CameraComputer Vision and Machine Learning with RGB-D Sensors10.1007/978-3-319-08651-4_12(239-265)Online publication date: 15-Jul-2014
  • (2012)Automatic Pitch Type Recognition System from Single-View Video Sequences of Baseball Broadcast VideosMethods and Innovations for Multimedia Database Content Management10.4018/978-1-4666-1791-9.ch008(119-142)Online publication date: 2012
  • (2012)A Highly Miniaturized, Wireless Inertial Measurement Unit for Characterizing the Dynamics of Pitched Baseballs and SoftballsSensors10.3390/s12091193312:9(11933-11945)Online publication date: 29-Aug-2012
  • (2012)Estimating the spin of a table tennis ball using Inverse Compositional Image Alignment2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP.2012.6288166(1457-1460)Online publication date: Mar-2012
  • (2011)Coded Strobing PhotographyIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2010.8733:4(671-686)Online publication date: 1-Apr-2011
  • (2010)Automatic Pitch Type Recognition System from Single-View Video Sequences of Baseball Broadcast VideosInternational Journal of Multimedia Data Engineering & Management10.4018/jmdem.20101112021:1(12-36)Online publication date: 1-Jan-2010
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