@inproceedings{PetkZivkJonk2001,
author="M. Petkovic and Z. Zivkovic and W. Jonker",
title="Recognizing Strokes in Tennis Videos Using Hidden Markov Models",
booktitle="Proceedings of the IASTED International Conference Visualization, 
	Imaging and Image Processing, Marbella, Spain",
year=2001,
abstract="This paper addresses content-based video retrieval 
with an emphasis on recognizing events in tennis game videos.
In particular, we aim at recognizing different classes of
tennis strokes using automatic learning capability of
Hidden Markov Models. Driven by our domain knowledge,
a robust player segmentation algorithm is developed for
real video data. Further, we introduce a number of novel
features to be extracted for our particular application.
Different feature combinations are investigated in order 
to find the optimal one. The experimental results demonstrate
that our method is close to realizing statistics of tennis
games automatically using ordinary TV broadcast videos."
}