Accurate ball detection in soccer images using probabilistic analysis of salient regions
Authors: Leo M., Mazzeo PL., Nitti M., Spagnolo P.
Autors Affiliation: Institute of Optics, National Research Council of Italy, via della Libertà 3, 73010 Arnesano, Lecce, Italy; Institute of Intelligent Systems for Automation, National Research Council of Italy, via Amendola 122, 70126 Bari, Italy
Abstract: Automatic sport video analysis has became one of the most attractive research fields in the areas of computer vision and multimedia technologies. In particular, there has been a boom in soccer video analysis research. This paper presents a new multi-step algorithm to automatically detect the soccer ball in image sequences acquired from static cameras. In each image, candidate ball regions are selected by analyzing edge circularity and then ball patterns are extracted representing locally affine invariant regions around distinctive points which have been highlighted automatically. The effectiveness of the proposed methodologies is demonstrated through a huge number of experiments using real balls under challenging conditions, as well as a favorable comparison with some of the leading approaches from the literature.
Journal/Review: MACHINE VISION AND APPLICATIONS
Volume: 24 (8) Pages from: 1561 to: 1574
KeyWords: Feature extraction; Computer Vision; Image ProcessingDOI: 10.1007/s00138-013-0518-9Citations: 2data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2020-01-12References taken from IsiWeb of Knowledge: (subscribers only)Connecting to view paper tab on IsiWeb: Click hereConnecting to view citations from IsiWeb: Click here