Condensation method for face tracking based on features fusion
Zhang, Yong; Li, Lan
2009
会议录名称ICACTE 2009 - Proceedings of the 2nd International Conference on Advanced Computer Theory and Engineering
卷号1
页码793-799
出版者American Society of Mechanical Engineers (ASME)
摘要A robust face tracking algorithm is proposed to color video sequence of complex background, in which uses a fusion of gradient model and color histogram model as clues. First, the method constructs histogram model according to color characteristics of high clustering about H-channel of HSV, Cb-channel and Cr-channel of YCbCr, and a gradient model according to gradient characteristics in the elliptic border is also constructed. Second, an improved CONDENSATION filtering algorithm is applied to face tracking, in which the problem of occlusion is solved better in video sequence. Experiment result shows the robustness of the method against the complex background of face rotation, partial occlusion and skin color distraction.
关键词Color Condensation Graphic methods Video recording Color characteristics Color histogram Color video sequences Complex background Face Tracking Filtering algorithm Gradient characteristics Gradient model
收录类别EI
语种英语
EI入藏号20104813426009
EI主题词Face recognition
来源库Compendex
分类代码716.4 Television Systems and Equipment - 741.1 Light/Optics - 802.3 Chemical Operations
文献类型会议论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/116660
专题石油化工学院
作者单位College of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, Gansu, China
第一作者单位兰州理工大学
推荐引用方式
GB/T 7714
Zhang, Yong,Li, Lan. Condensation method for face tracking based on features fusion[C]:American Society of Mechanical Engineers (ASME),2009:793-799.
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