Ball Position and Motion Reconstruction from Blur in a Single Perspective Image

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.

• Type: Conference
• Year: 2007
• Where: ICIAP
• Authors: Giacomo Boracchi, Vincenzo Caglioti, Alessandro Giusti
• Keywords: Ball 3D Position, Blurred Image, ICIAP 2007, Image Processing, Motion Blurred Scenes