Trajectory based event tactics analysis in broadcast sports video
Proceedings of the 15th international conference on Multimedia
Event tactic analysis based on player and ball trajectory in broadcast video
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Event tactic analysis based on broadcast sports video
IEEE Transactions on Multimedia
Multimedia Tools and Applications
Tennis real play: an interactive tennis game with models from real videos
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Sports Information Retrieval for Video Annotation
International Journal of Digital Library Systems
Hi-index | 0.00 |
This paper attempts to classify tennis games into 58 winning patterns for training purpose. It bases on tracking ball movement from broadcasting tennis video. Trajectory and landing position are used as the basic features for classification. We use an improved Bayesian networks to classify the landing position of different patterns. Intelligent agents are used to combine trajectories and landing positions as two features are in different dimensions. Semantic labels are granted after classification. The aim of the analysis is to provide a browsing tool for coachers or other personnel to retrieve tennis video clips.