Scientific Results

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


Volume: 2012      Pages from: 1  to: 22

KeyWords: pattern recognition; computer vision; sport analysis

This site uses cookies. If you decide to continue browsing we consider that you accept their use. For more information about cookies and how to delete them please read our Info Policy on cookies use.
Read more