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A Fully Automatic Player Detection Method Based on One-Class SVM
Xuefeng BAI Tiejun ZHANG Chuanjun WANG Ahmed A. ABD EL-LATIF Xiamu NIU
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2013/02/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Recognition, Computer Vision
player detection, one-class SVM, decision-making, broadcast sports video analysis,
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Player detection is an important part in sports video analysis. Over the past few years, several learning based detection methods using various supervised two-class techniques have been presented. Although satisfactory results can be obtained, a lot of manual labor is needed to construct the training set. To overcome this drawback, this letter proposes a player detection method based on one-class SVM (OCSVM) using automatically generated training data. The proposed method is evaluated using several video clips captured from World Cup 2010, and experimental results show that our approach achieves a high detection rate while keeping the training set construction's cost low.