计算技术与自动化Issue(2)：87-91,5.
基于核Fisher判别分析视频运动目标的分类
Classification of Moving Targets in Video Based on the Kernel Fisher Discriminant Analysis
摘要
Abstract
In order to overcome the shorts of linear discriminant analysis,which can only extract linear features and can not describe nonlinear characteristics,the Kernel Fisher Discriminant Analysis algorithm,which combines the kernel learn-ing and the separation of linear discriminant analysis,was adopted to automatically classify the moving obj ects in video.The obj ects include three categories:people,cars and pets.The method has obtained satisfying performance both in this system and in the recall,precision and F1-score.关键词
线性判别分析/特征提取/核 Fisher判别分析/运动目标分类/视频Key words
linear discriminant analysis/feature extraction/kernel Fisher discriminant analysis/moving obj ect classifica-tion/video分类
信息技术与安全科学引用本文复制引用
刘丽红,曾志高,彭程,杨凡稳,周丹,姚慧丹..基于核Fisher判别分析视频运动目标的分类[J].计算技术与自动化,2015,(2):87-91,5.基金项目
国家自然科学基金项目(61170102,61350011) （61170102,61350011）
湖南省自然科学基金项目(2015JJ2046,14JJ2115) （2015JJ2046,14JJ2115）
湖南省教育厅科研项目(12C0072,12A039) （12C0072,12A039）
