摘要
目的针对背景复杂的彩色视频图像序列,提出了一种梯度和颜色直方图相结合的双线索人脸跟踪算法。方法首先利用颜色确定肤色区域,再根据人头的椭圆形状利用梯度确定头部轮廓,从而获取人脸区域。在跟踪过程中采用粒子滤波方法得到人脸初始粒子与位置;然后用Mean Shift算法进行粒子更新,判断目标运动方向。结果与结论该方法对复杂背景下人脸旋转、遮挡及背景肤色干扰下的跟踪,具有较强的鲁棒性,能够更好地克服在视频跟踪中的遮挡问题。对于丢失目标的跟踪情况进行改进还有一定的困难,这也是以后研究的重点。
Aim To introduce a two-clue face tracking algorithm combined with gradient and color histogram against the color video image sequence of complex background.Methods Firstly,color is used to determine skin area;Secondly,the human face region is obtained by making head contour through gradient on the basis of the elliptic shape of human head.After the human face initial particles and position are obtained with particle filter method in the process of tracking,Mean Shift method is used to update particles and judge target movement direction.Results and Conclusion Experiments show that the method can better overcome the occlusion problem in video tracking besides strong robustness for face rotation and occlusion with complex backgrounds as well as the tracking in the presence of background color interference.But there are some difficulties in improving lost target tracking,which is also the main emphasis of our future research.
出处
《宝鸡文理学院学报（自然科学版）》
CAS
2011年第4期36-39,共4页
Journal of Baoji University of Arts and Sciences(Natural Science Edition)
