Multi-camera analysis of soccer sequences
Multi-camera analysis of soccer sequences
- New search for: Poppe, Chris
- New search for: Verstockt, Steven
- New search for: De Bruyne, Sarah
- New search for: Van de Walle, Rik
- New search for: Poppe, Chris
- New search for: Verstockt, Steven
- New search for: De Bruyne, Sarah
- New search for: Van de Walle, Rik
The automatic detection of meaningful phases in a soccer game depends on the accurate localization of players and the ball at each moment. However, the automatic analysis of soccer sequences is a challenging task due to the presence of fast moving multiple objects. For this purpose, we present a multi-camera analysis system that yields the position of the ball and players on a common ground plane. The detection in each camera is based on a code-book algorithm and different features are used to classify the detected blobs. The detection results of each camera are transformed using homography to a virtual top-view of the playing field. Within this virtual top-view we merge trajectory information of the different cameras allowing to refine the found positions. In this paper, we evaluate the system on a public SOCCER dataset and end with a discussion of possible improvements of the dataset.
Document information
Multi-camera analysis of soccer sequences
2010-01-01
Advanced Video and Signal Based Surveillance, 7th IEEE International conference, Proceedings ; ISBN: 9781424483105 ; ISBN: 9780769542645
Conference paper
Electronic Resource
English
| DDC: | 629 |
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