We consider the problem of localizing a moving ball from a single calibrated perspective image; after showing that ordinary algorithms fail in analyzing motion blurred scenes, we describe a theoretically-sound model for the blurred image of a ball. Then, we present an algorithm capable of recovering both the ball 3D position and its velocity. The algorithm is experimentally validated both on real and synthetic images.
Citation:
Giacomo Boracchi, Vincenzo Caglioti, Alessandro Giusti, "Ball Position and Motion Reconstruction from Blur in a Single Perspective Image," iciap, pp.87-92, 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007