现代电子技术2017，Vol.40Issue(9)：32-35,4.DOI:10.16652/j.issn.1004-373x.2017.09.009
特征筛选和支持向量机的体育视频识别
Sports video recognition based on feature screening and support vector machine
摘要
Abstract
In order to improve the recognition accuracy of sports video,and speed up the recognition speed of sports video, a sports video recognition model based on feature screening and support vector machine is proposed. The features of the sports video image are extracted,and input into the support vector machine for training. The average contribution value of each feature to the sports video recognition is obtained according to the training samples,and performed with descending sort to eliminate the useless and redundant features,and screen out the important features. The sports video recognition model is established according to the important features. The simulation experiment is used to test and analyze the validity of the model. The results show that the model has improved the recognition correctness of sports video,and its false recognition rate is lower than that of other contrast models.关键词
体育视频/支持向量机/特征筛选/特征相关性/识别模型Key words
sports video/support vector machine/feature screening/feature correlation/recognition model分类
信息技术与安全科学引用本文复制引用
王宏霞..特征筛选和支持向量机的体育视频识别[J].现代电子技术,2017,40(9):32-35,4.
