A robust and novel method for video object contour tracking by improving the dual-front active contour model.
对双前沿活动轮廓模型进行了改进，提出一种鲁棒的视频目标轮廓跟踪新方法。
Aiming at the distribution characteristic of pixel gray level in tested data, this paper proposes a valid and reliable searching and tracking policy for the object contour.
针对实验数据像素灰度的分布特点，提出了一种对目标轮廓线进行有效和可靠的搜索和跟踪策略。
A robotic visual servo control based on active contour is presented, which combines the active contour with the image optical flow for tracking image contours related to the object of interest.
将活动轮廓和光流模型相结合用于运动物体图像的实时跟踪，以抽取物体图像的边缘信息，并以此信息控制摄像机的运动，达到机器人定位、跟踪等目的。
In the thesis, the algorithm of background subtracting, frame difference algorithm, motion estimation based on optical flow field and object tracking based on active shape contour are investigated.
本文研究了背景相减算法、差分法、基于光流场的运动估计和基于主动形状模型的目标跟踪算法。
In the thesis, the algorithm of background subtracting, frame difference algorithm, motion estimation based on optical flow field and object tracking based on active shape contour are investigated.
本文研究了背景相减算法、差分法、基于光流场的运动估计和基于主动形状模型的目标跟踪算法。
应用推荐