Soccer Ball Detection by Comparing Different Feature Extraction Methodologies
Year: 2012
Authors: Mazzeo P.L., Leo M., Spagnolo P., Nitti M.
Autors Affiliation: ISSIA-CNR
Abstract: This paper presents a comparison of different feature extraction methods for
automatically recognizing soccer ball patterns through a probabilistic analysis. It
contributes to investigate on different well known feature extraction approaches
applied in a soccer environment, in order to measure robustness accuracy and detection
performances. This work, evaluating different methodologies, permits to
select the one which achieves best performances in terms of detection rate and
CPU processing time. The effectiveness of the different methodologies is demonstrated
by a huge number of experiments on real ball examples under challenging
conditions.
Journal/Review: JOURNAL OF THE OPTICAL SOCIETY OF AMERICA B-OPTICAL PHYSICS
Volume: 2012 Pages from: 1 to: 22
KeyWords: pattern recognition; computer vision; sport analysis
