Automatically detects events/actions of interest in a soccer match
All content providers may be interested by the soccer event detection technology to manage efficiently their content database. When repurposing applications are targeted, these same providers will see an interest in having this module to help automatically detect events of interest.
The soccer event detection module may also be used by end users to manage their own content at home.
The soccer detection module is a system that detects automatically events/actions of interest in soccer matches. Provided with a set of pre-computed features from a video stream, the system will output a file with the corresponding event timecodes.
The chosen pre-computed features were proved to be discriminative for the task of soccer event detection. They are used as an input for a classification sub-system based on Bayesian networks. This sub-system was trained and its parameters learned offline on a soccer matches database.
Contrary to what exists in literature, the Bayesian model structure was also automatically learned, without using any expert knowledge. The structure learning property enables one to automatically train another model on another type of videos to detect some other type of events, without manually building the structure of the model.