摘要
分析了视频人脸跟踪识别过程中高效特征提取、长时间人脸遮挡、光照变化及多目标跟踪识别等问题,讨论了基于PCA和SVM人脸识别优点及不足,提出了基于PCA和SVM多生物特征层融合的人脸识别模型,设计了多生物特征人脸识别算法,对实验过程进行了描述并对实验结果进行了分析.结果表明,提出的算法识别率高于任一单一算法、更适合实时视频监控取证系统使用.
Some shortcomings in course of following and discerning face were Analyzed,which Included taking out characteristic high-efficiently,face sheltered for a long time,illumination change,following and dis-cerning many goals,etc. advantage and deficiency of face recognition based on PCA and SVM were discussed, face recognition model based on multi-biological characteristics integration for PCA and SVM was proposed. the algorithm of multi-biological characteristics face recognition was designed,the experiment course was described and the experimental result was analyzed. Result indicated,efficiency of algorithm in this text was higher than any single algorithm,it more suitably been used in real-time video control forensics system.
出处
《佳木斯大学学报（自然科学版）》
CAS
2010年第4期485-488,共4页
Journal of Jiamusi University：Natural Science Edition
基金
湖南省教育厅项目(08C027)
2007湖南省公安厅科研计划项目批准立项课题(2007)
关键词
多生物特征
视频取证
融合处理
主成分分析
支持向量机
multi-biological characteristics
video forensics
mergence treatment
principal component analysis
support vector machine
