| 1. | Real - time human face tracking in color images
彩色图像的实时人脸跟踪方法 |
| 2. | Face tracking in color image sequences
彩色视频序列图像中的人脸跟踪方法 |
| 3. | Skin - color based face tracking in real - time
基于肤色的人脸实时跟踪方法 |
| 4. | Particle filter face tracking using color and shape histogram as clues
以颜色和形状直方图为线索的粒子滤波人脸跟踪 |
| 5. | A particle filter based face tracking algorithm under complex environment is provide
提出一种基于粒子滤波的复杂环境下人脸检测与跟踪算法。 |
| 6. | At first , this thesis provides a face tracking algorithm based on robust optical flow
首先，本文提出了一个基于鲁棒性光流场的人脸跟踪算法。 |
| 7. | The parametric motion models of human face are introduced firstly and then the face tracking system based on robust regression algorithm is developed
介绍了人脸运动的参数模型，实现了一个基于鲁棒性回归算法的人脸跟踪系统。 |
| 8. | In the field of human face tracking , we contrast several main similarity methods nowadays , and adopt a method of human face tracking based on feature space model
在人脸跟踪领域,本文对比了当前几种主要的相似度匹配方法,采用了一种基于特征空间模型的人脸跟踪方法。 |
| 9. | Among the face tracking algorithm , we first use difference image to gain the raw - location , then in the limited position , we use two template matching to tracking face
在人脸跟踪的算法中，采用了在差分图像粗定位的基础上，在一个确定的小范围内利用双模板匹配进行跟踪。 |
| 10. | Human face problems consist of four parts : human face detection , human face tracking , identification of human face and the interrelated pose and expression . this paper does research mainly on human detection and human tracking
人脸问题主要包括:人脸检测、人脸跟踪、人脸识别,以及其衍生出来的姿态和表情分析四个应用领域。 |
