Incorporating color distribution and spatial layout, this paper proposes a sequential Monte Carlo filter tracking face algorithm using color and spatial information in HSV color space.
结合图像的色彩分布和空间布局，提出了一种基于HSV色彩和空间信息的序列蒙特卡罗滤波人脸跟踪算法。
To overcome the limitation of the traditional tracking algorithm, we use particle filter for face tracking.
为了克服传统跟踪算法的局限性，采用粒子滤波器进行人脸跟踪。
A automatic face detection and tracking algorithm is presented, which is of very low computational complexity and is rather robust to image content.
给出了一种运算量低、鲁棒性好的人脸自动识别和跟踪算法。
应用推荐