Name
Abstract | ||
|---|---|---|
We propose a novel physics-based model for analysing team players' positions and movements on a sports playing field. The goal is to detect for each frame the region with the highest population of a given team's players and the region towards which the team is moving as they press for territorial advancement, termed the region of intent. Given the positions of team players from a plan view of the playing field at any given time, we solve a particular Poisson equation to generate a smooth distribution. The proposed distribution provides the likelihood of a point to be occupied by players so that more highly populated regions can be detected by appropriate thresholding. Computing the proposed distribution for each frame provides a sequence of distributions, which we process to detect the region of intent at any time during the game. Our model is evaluated on a field hockey dataset, and results show that the proposed approach can provide effective features that could be used to generate team statistics useful for performance evaluation or broadcasting purposes. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICIP.2012.6467454 | Image Processing |
Keywords | Field | DocType |
Poisson equation,sport,statistics,Poisson equation solution,broadcasting,field hockey dataset,highly populated regions,performance evaluation,physics-based model,region of intent,sports playing field,team behavior analysis,team player position analysis,team statistics,Feature extraction,Poisson equation,computer vision,team sports,video analysis | Population,Broadcasting,Computer vision,Poisson's equation,Computer science,Image processing,Artificial intelligence,Thresholding | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4673-2532-5 | 978-1-4673-2532-5 | 3 |
PageRank | References | Authors |
0.39 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Direkoglu, C. | 1 | 3 | 0.39 |
| Noel E. O'Connor | 2 | 2137 | 223.20 |