PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Ball event recognition using HMMs for automatic tennis annotation
Ibrahim Almajai, Josef Kittler, Teo De Campos, William Christmas, Fei Yan, David Windridge and Aftab Khan
In: ICIP 2010, 26-29 Sep 2010, Hong Kong.


A key prerequisite of automatic video indexing and summarisation is the description of events and actions. In the context of many sports, the motion of the ball and agents plays an essential role in describing events. However, the only existing solution for the tennis event recognition problem in the literature relies on a set of heuristic rules such as proximity between ball and players or court lines to classify ball event candidates. We present hidden Markov models (HMMs) paradigm to automatically learn to identify events from ball trajectories and demonstrate that its ability to capture the dynamics of the ball movement lead to a much higher performance.

EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
Learning/Statistics & Optimisation
Information Retrieval & Textual Information Access
ID Code:7017
Deposited By:Ibrahim Almajai
Deposited On:05 November 2010