| 引入光流法的活动轮廓模型 |
| |
| 引用本文： | 王以孝,王春声,程义民.引入光流法的活动轮廓模型[J].电路与系统学报,2003,8(1):77-80. |
| |
| 作者姓名： | 王以孝 王春声 程义民 |
| |
| 作者单位： | 中国科学技术大学电子科学与技术系,安徽,合肥,230026 |
| |
| 摘 要： | 本文在活动轮廓模型的基础上，引入了“图象统计势能”和光流法，提出了一种新的图象分割方法，该方法改进了活动轮廓模型的一些不足，能准确地检测出物体轮廓边界，且分割结果对初始位置不敏感，同时提高了对运动速度较快的物体轮廓检测的正确性，实验结果证实了该方法的有效性。
|
| 关 键 词： | 光流法 活动轮廓模型 图像统计势能 图象分割 Snake模型 计算机 |
| 文章编号： | 1007-0249(2003)01-0077-04 |
| 修稿时间： | 2001年12月6日 |
Active Contours Guided By Optical Flow |
| |
| WANG Yi-xiao,WANG Chun-sheng,CHENG Yi-min.Active Contours Guided By Optical Flow[J].Journal of Circuits and Systems,2003,8(1):77-80. |
| |
| Authors: | WANG Yi-xiao WANG Chun-sheng CHENG Yi-min |
| |
| Abstract: | A method for segmentation and tracking of moving object in image sequences is presented. The active contour model is a common method for tracking moving objects. But it is sensitive to the initial contour and difficult to track fast moving objects. The concept of Image Statistical Energy and Optical flow are employed to dissolve the problem of tracking fast moving objects. The algorithm was tested on playing badminton sequences. The contour successfully was tracked as boundaries of sportsman. |
| |
| Keywords: | Active Contour Statistical Energy Optical Flow Segmentation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
