Online Adaptive Fast Multipose Face Tracking Based on Visual Cue Selection

作     者：YANG Tao LI Zi-Qing PAN Quan LI Jing ZHAO Chun-Hui CHENG Yong-Mei YANG Tao;LI Zi-Qing;PAN Quan;LI Jing;ZHAO Chun-Hui;CHENG Yong-Mei

作者机构：College of Automation Northwestern Polytechnical University Xi'an 710072 P.R. China Center for Biometrics and Security Research and National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100080 P. R. China 

出 版 物：《自动化学报》 (Acta Automatica Sinica)

年 卷 期：2008年第34卷第1期

页      面：14-20页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：Supported by the Key Program of National Natural Science Foundation of China(60634030) Research Fund for the Doctoral Program of Higher Education of China(20060699032) Aero-science Fund(2007ZC53037) Foundation of National Laboratory of Pattern Recognition(1M99G50)of China 

主　　题：视觉提示选择 面容跟踪系统 绝对移动 位置 实时跟踪 

摘      要：This paper presents a system that is able to reliably track multiple faces under varying poses(tilted and rotated)in real *** system consists of two interactive *** 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 *** mechanism enables a smooth transit between the detection and tracking modules when one of them gives either nil or unreliable *** 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 ***,it runs at a high speed of 10～12 frames per second(fps)for an image of 320×240.