Image Segmentation and Feature Extraction for Recognizing Strokes in Tennis Game Videos

@inproceedings{Zivkovic2001ImageSA,
  title={Image Segmentation and Feature Extraction for Recognizing Strokes in Tennis Game Videos},
  author={Zoran Zivkovic and Ferdinand van der Heijden and Milan Petkovic and Willem Jonker},
  year={2001}
}
This paper addresses the problem of recognizing human actions from video. Particularly, the case of recognizing events in tennis game videos is analyzed. 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. Finally, recognition results for different classes of tennis… CONTINUE READING

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…