文章基本信息

标题：Soccer Ball Detection by Comparing Different Feature Extraction Methodologies
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作者：Pier Luigi Mazzeo ; Marco Leo ; Paolo Spagnolo 等
期刊名称：Advances in Artificial Intelligence
印刷版ISSN：1687-7470
电子版ISSN：1687-7489
出版年度：2012
卷号：2012
DOI：10.1155/2012/512159
出版社：Hindawi Publishing Corporation
摘要：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.