A new model based approach for tennis court tracking in real time

The detection and the tracking of the tennis court is a primordial step to analyse a tennis video at higher semantic level. In this context, a new approach for tennis court tracking in real time is proposed in this paper. Our proposed system is based on model based approach allows to compute the homography between the court detected in the scene and the court model presenting the real world coordinate. For this aim, the first step is to detect the tennis court by detecting the court line and determining some interest points. We check then the motion of the camera. In case of camera motion, the court is tracked by tracking the interest points using the Lucas-Kanade algorithm. After that, these points are used by a RANSAC algorithm to estimate the homography. However, in case of a fixed camera, we need only the model based correction system.