Soccer Ball Detection by Comparing Different Feature Extraction Methodologies
Joint Authors
Nitti, Massimiliano
Mazzeo, Pier Luigi
Spagnolo, Paolo
Leo, Marco
Source
Advances in Artificial Intelligence
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-03
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Science
Abstract EN
This paper presents a comparison of different feature extraction methods for automatically recognizing soccer ball patterns through a probabilistic analysis.
It contributes to investigate 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.
American Psychological Association (APA)
Mazzeo, Pier Luigi& Leo, Marco& Spagnolo, Paolo& Nitti, Massimiliano. 2012. Soccer Ball Detection by Comparing Different Feature Extraction Methodologies. Advances in Artificial Intelligence،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-477478
Modern Language Association (MLA)
Mazzeo, Pier Luigi…[et al.]. Soccer Ball Detection by Comparing Different Feature Extraction Methodologies. Advances in Artificial Intelligence No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-477478
American Medical Association (AMA)
Mazzeo, Pier Luigi& Leo, Marco& Spagnolo, Paolo& Nitti, Massimiliano. Soccer Ball Detection by Comparing Different Feature Extraction Methodologies. Advances in Artificial Intelligence. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-477478
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-477478