8 June 2012 Player detection using one-class SVM
Author Affiliations +
Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83342X (2012) https://doi.org/10.1117/12.956462
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia
Abstract
In this paper, a novel player detection method via One-Class SVM(OCSVM) is proposed, inspired by both the player detection problem and the property of the OCSVM. In this detection method, candidate regions are got by local entropy and local range analysis firstly. Then a set of training samples is obtained by several predefined rules on shape and area. These samples are used to train two OCSVM models. One model uses color feature, and the other uses gradient feature. Finally, we locate the regions of player by fusing the detection result of the two models. Extensive experiments demonstrate effectiveness and efficiency of the proposed method.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xuefeng Bai, Xuefeng Bai, Tiejun Zhang, Tiejun Zhang, Chuanjun Wang, Chuanjun Wang, Qiong Li, Qiong Li, Xiamu Niu, Xiamu Niu, } "Player detection using one-class SVM", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83342X (8 June 2012); doi: 10.1117/12.956462; https://doi.org/10.1117/12.956462
PROCEEDINGS
5 PAGES


SHARE
Back to Top