AUTOMATIC LANDMARK DETECTION AND VALIDATION IN SOCCER VIDEO SEQUENCES

Landmarks are specific points that can be identified to provide efficient matching processes. Many works have been developed for detecting automatically such landmarks in images: our purpose is not to propose a new approach for such a detection but to validate the detected landmarks in a given context that is the 2D to 3D registration of soccer video sequences. The originality of our approach is that it globally takes into consideration the color and the spatial coherence of the field to provide such a validation. This process is a part of the SIMULFOOT project whose objective is the 3D reconstruction of the scene (players, referees, ball) and its animation as a support for cognitive studies and strategy analysis.