Wong, Patrick Open University multi-view table tennis video database.
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Abstract
This video database contains multi-view table tennis sequences which were captured during local league matches. The sequences were filmed using up to 4 high speed cameras (Casio EX-F1). The original purpose of these sequences is for ball tracking research. A ground truth, which contains the ball location in each frame identified by human volunteers, is also available for some of the sequences. You can preview the sequences using the Dataset Access link. If you are interested in using these sequences for non-commercial research purposes, we can provide you links to download the original video sequences. Please contact us by clicking on the Contact OU Author button.
| Item Type: | Research Dataset Record |
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| Dataset Status: | Finalised |
| Alternative Title: | Multi-view table tennis video database |
| Dataset Access: | http://xgmt.open.ac.uk/8025758D004EE0CB/%28httpAdHocPages%29/88626E9BE9E00AC480257CFB00322F0C?OpenDocument |
| Collection Method: | The table tennis sequences were captured at real match scenes - local league matches. The ground truth, which contains the ball location in each frame, is identified by human volunteers |
| Processing: | Views captured by individual cameras have been synchanised and aligned. |
| Related Resources: | |
| Retention Rule: | Until specified date |
| Retention Date: | 2025 |
| Retention Action: | Review |
| Extra Information: | If you are going to use these video sequences for your research, please kindly cite the related publication indicated. |
| Keywords: | multi-view; high speed cameras; slow motion; table tennis; object tracking |
| Academic Unit or School: | Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Item ORO ID: | 42324 |
| Depositing User: | Patrick Wong |
| Date Deposited: | 24 Mar 2015 09:06 |
| Last Modified: | 25 May 2024 10:00 |
| URI: | https://oro.open.ac.uk/id/eprint/42324 |
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