Journal
14TH INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING, PROCEEDINGS
Volume -, Issue -, Pages 87-+Publisher
IEEE COMPUTER SOC
DOI: 10.1109/ICIAP.2007.4362762
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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.
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