Abstract
The 3D position of the ball plays a crucial role in professional sport analysis. In ball sports, tracking of ball's precise position accurately is highly required, whose performance is affected by inaccurate 3D coordinates and occlusion problem. In this paper, we propose anti-occlusion observation model and automatic recovery by 3D ball detection based on multiview videos to track the ball in 3D space. The anti-occlusion observation model evaluates each camera's image and eliminates the influence of the cameras in which the ball is occluded. The automatic recovery method detects the ball's 3D position by homography relation of the multi-video and generates a new distribution to initiate the tracker when tracking failure is detected. Experimental results based on the HDTV video sequences, which were captured by four cameras located at the corners of the court, show that the success rate of the 3D ball tracking achieves 99.14%.
| Original language | English |
|---|---|
| Title of host publication | 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1501-1505 |
| Number of pages | 5 |
| Volume | 2016-May |
| ISBN (Electronic) | 9781479999880 |
| DOIs | |
| Publication status | Published - 2016 May 18 |
| Event | 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Shanghai, China Duration: 2016 Mar 20 → 2016 Mar 25 |
Other
| Other | 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 |
|---|---|
| Country/Territory | China |
| City | Shanghai |
| Period | 16/3/20 → 16/3/25 |
Keywords
- automatic recovery
- multi-view ball tracking
- occlusion
- Sports analysis
ASJC Scopus subject areas
- Signal Processing
- Software
- Electrical and Electronic Engineering