Summary of Improving Object Detection Quality in Football Through Super-resolution Techniques, by Karolina Seweryn et al.
Improving Object Detection Quality in Football Through Super-Resolution Techniques
by Karolina Seweryn, Gabriel Chęć, Szymon Łukasik, Anna Wróblewska
First submitted to arxiv on: 31 Jan 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This study examines the application of super-resolution techniques to improve object detection accuracy in football. By leveraging advanced image processing, researchers aim to enhance the precision and reliability of object tracking in football match footage, a crucial aspect for both analysis and broadcasting purposes. The investigation focuses on how super-resolution methods impact the performance of object detection algorithms in football-specific scenarios. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study looks into using special techniques to make it easier to track objects like balls and players in fast-paced football matches. This is important because accurate tracking helps with analyzing and broadcasting games. Researchers are trying to figure out if these special techniques can improve how well computers detect objects in football footage. |
Keywords
» Artificial intelligence » Object detection » Object tracking » Precision » Super resolution » Tracking
