摘要
提出用于电视电话会议、远程教学、监视与监控等场合的人脸实时跟踪方法 .以人脸肤色模型为基础 ,结合目标形状特征识别方法 ,并用扩展卡尔曼滤波估计目标运动轨迹 ,实现基于肤色的人脸实时跟踪鲁棒方法 .该方法有效地保证了复杂场景下目标跟踪的准确性 ,实现了带遮挡情况下的人脸实时跟踪 .系统跟踪速度达到视频速度 ,对于 PAL制式的视频图像达 30帧 /s,对于 NTSC制式的视频图像达 2 5帧 /s.
A robust real time face tracking algorithm for tele conference, tele education, surveillance and monitoring was presented. The face motion could be estimated by using face skin color model integrated with feature based object recognition technique and extended Kalman filter. The system worked at video rate, that is, 25 Hz for NTSC images and 30 Hz for PAL images. The experimental testing showed that the tracking algorithm worked well in complex environment and social occlusion case.
出处
《北京理工大学学报》
EI
CAS
CSCD
2000年第4期461-465,共5页
Transactions of Beijing Institute of Technology
基金
部级预研项目
