Soccer Ball Detection by Comparing Different Feature Extraction Methodologies

Anno: 2012

Autori: Mazzeo P.L., Leo M., Spagnolo P., Nitti M.

Affiliazione autori: 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      Da Pagina: 1  A: 22

Parole chiavi: pattern recognition; computer vision; sport analysis