Live 3D Video in Soccer Stadium
International Journal of Computer Vision
Playfield and ball detection in soccer video
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Generalized playfield segmentation of sport videos using color features
Pattern Recognition Letters
A template-based baseball video scene classification using efficient playfield segmentation
Multimedia Tools and Applications
Visual features extraction through spatiotemporal slice analysis
MMM'07 Proceedings of the 13th International conference on Multimedia Modeling - Volume Part II
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A vital task in sports video annotation is to detect and segment areas of the playfield. This is an important first step in player or ball tracking and detecting the location of the play on the playfield. In this paper we present a technique using statistical models, Gaussian mixture models (GMMs) and Maximum a Posteriori (MAP) adaptation. This involves first creating a generic model of the playfield colour and then using unsupervised MAP adaptation to adapt this model to the colour of the playfield in each game. This technique provides a robust and accurate segmentation of the playfield. To demonstrate the robustness of the method we tested it on a number of different sports that have grass playfields, rugby, soccer and field hockey.