Precise 3D Baseball Pitching Trajectory Estimation Using Multiple Unsynchronized Cameras
| Autor: | Jeyeon Kim, Hongjun Lee, Whoi-Yul Kim, Joongsik Kim, Moonsoo Ra |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
General Computer Science
Computer science business.industry Baseball game 3D pitching trajectory General Engineering Process (computing) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology Stereo vision Position (vector) 0202 electrical engineering electronic engineering information engineering Trajectory General Materials Science Computer vision Artificial intelligence lcsh:Electrical engineering. Electronics. Nuclear engineering business camera calibration multiple unsynchronized cameras lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 7, Pp 166463-166475 (2019) |
| ISSN: | 2169-3536 |
| Popis: | We developed a method for the precise estimation of the 3D trajectory of a baseball by modeling the movement of the baseball and estimating the capture delay, using multiple unsynchronized cameras. To develop the proposed algorithm, we mimicked the real-world process of capturing a baseball in simulation space, and analyzed the capture process using a multiple unsynchronized camera system. We represented the movement of the baseball using a piece-wise spline model, and predicted the position of the baseball in the subframes in a manner which is robust to position error and change in direction of movement of the baseball. This method accurately predicts the baseball position over time by modeling the movement of the baseball in a real baseball game environment, and improves the accuracy of the reconstructed 3D baseball trajectories. We defined an objective function to estimate the capture delay, and estimate the optimal capture delay parameter using non-linear optimization method. In addition, we evaluated the performance of the proposed method in simulation space and in a real-world situation. The experimental results show that the proposed method can estimate a 3D baseball trajectory precisely using a multiple unsynchronized camera system and is robust to variations in capture delay, both in the simulation space and in real-world situations. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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