Face Tracking Based on Skin Color and Motion Prediction

摘要：

　　Aimed at the disturbance caused by illumination variations and similar skin color regions in the video scene which will greatly affect face tracking accuracy,and in order to enhance the real time performance,a novel approach for face tracking based on skin-color information and motion prediction is put forward in this paper.The major idea is to take the Gaussian skin-color model based on YCrCb space as face location model,and in order to increase the real-time performance of skin-color detection,GM(1,1) model is combined to carry out face prediction so as to reduce searching areas.By exploiting least-square method to determine constant c in time response function of the GM(1,1) whitenization function,the prediction accuracy can be greatly advanced,satisfying the demand for prediction model owing to the randomization of human face movement.Experimental results show that the proposed method has such advantages as fast tracking speed and good robustness.

关键词： Skin-color Information Motion Prediction Face Tracking GM(1,1) Model

作者: Jing Sun

作者单位: College of Information and Electronics Zhejiang Sci-Tech University Hangzhou, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 657-660

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）