Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
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Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Machine vision
Human motion analysis: a review
Computer Vision and Image Understanding
A Mathematical Introduction to Robotic Manipulation
A Mathematical Introduction to Robotic Manipulation
Visual Tracking of High DOF Articulated Structures: an Application to Human Hand Tracking
ECCV '94 Proceedings of the Third European Conference-Volume II on Computer Vision - Volume II
Approximate simulation of elastic membranes by triangulated spring meshes
Journal of Graphics Tools
Real-Time Tracking for Enhanced Tennis Broadcasts
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Towards 3D hand tracking using a deformable model
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
A Ball Detection Algorithm for Real Soccer Image Sequences
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Calibration Procedure for Short Focal Length Off-the-Shelf CCD-Cameras
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Construction and animation of anatomically based human hand models
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Real-time hand-tracking with a color glove
ACM SIGGRAPH 2009 papers
Automatic high-speed flying ball detection from multi-exposure images under varying light conditions
Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
A method to evaluate metal filing skill level with wearable hybrid sensor
AH '12 Proceedings of the 3rd Augmented Human International Conference
Performance Capture of High-Speed Motion Using Staggered Multi-View Recording
Computer Graphics Forum
International Journal of Multimedia Data Engineering & Management
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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.