%0 Journal Article
%T Online Adaptive Fast Multipose Face Tracking Based on Visual Cue Selection<br>基于在线特征选择的实时多姿态人脸跟踪
%A YANG Tao
%A LI Zi-Qing
%A PAN Quan
%A LI Jing
%A ZHAO Chun-Hui
%A CHENG Yong-Mei
%A <br>杨涛
%A 李子青
%A 潘泉
%A 李静
%A 赵春晖
%A 程咏梅
%J 自动化学报
%D 2008
%I 
%X This paper presents a system that is able to reliably track multiple faces under varying poses (tilted and rotated) in real time. The system consists of two interactive modules. The first module performs the detection of the face that is subject to rotation. The second module carries out online learning-based face tracking. A mechanism that switches between the two modules is embedded into the system to automatically decide the best strategy for reliable tracking. The mechanism enables a smooth transit between the detection and tracking modules when one of them gives either nil or unreliable results. Extensive experiments demonstrate that the system can reliably carry out real time tracking of multiple faces in a complex background under different conditions such as out-of-plane rotation, tilting, fast nonlinear motion, partial occlusion, large scale changes, and camera motion. Moreover, it runs at a high speed of 10~12 frames per second (fps) for an image of 320~240.
%K Face-tracking system
%K visual cue selection
%K mean-shift<br>视觉提示选择
%K 面容跟踪系统
%K 绝对移动
%K 位置
%K 实时跟踪
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=36330805E42DD549929EE9E1F03CCFBF&yid=67289AFF6305E306&vid=339D79302DF62549&iid=CA4FD0336C81A37A&sid=F3583C8E78166B9E&eid=A04140E723CB732E&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=20