Camera calibration for sport images: Using a modified RANSAC-based strategy and genetic algorithms

Camera calibration is an attractive problem that have received relatively great attention from scientists in the last years. It has several interesting applications, particularly in sports broadcasting technology. We present in this paper a complete system that receives a sport image, automatically detects control points in the image with a RANSAC-based strategy and solves the optimization problem by using a genetic algorithm. In fact, our approach introduces an improvement in the RANSAC-based strategy which is able to refine its results, and shows that a simple genetic algorithm is capable to solve the camera calibration problem with relatively small computational effort.