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.
研究了心脏左室轮廓光流场检测的一种聚类中心特征点匹配算法。
The paper discusses the detections for contour-based optical flow field of the LV of heart. The detection is an application of matching algorithm of boundary cluster centers.
将这个算法与光流场的计算相结合，大大减少了运算量，提高了运算速度。
If combined with optical flow computing, this algorithm can highly reduce the computation amounts and enhance the computing rate.
本文给出了一种利用神经网络计算光流场的新算法。
A new algorithm for optical flow computation is presented using neural networks.
算法主要包括图像的预处理，车辆的运动检测和基于光流场的行为分析。
The algorithm is mainly composed of image preprocessing, the vehicle motion detection and behavior analysis based on optical flow.
而光流场的各种计算方法中，块匹配光流算法的效果比较好。
Moreover, block matching algorithm is the better one in the computational methods of optical flow.
针对背景相对运动是视频序列，提出了基于光流场阈值的CNN视频分割算法。
Aim at video sequences with dynamic background, the CNN video motion segmentation algorithm based on optical flow field threshold is presented.
研究了心脏左室轮廓光流场检测的一种聚类中心特征点匹配算法。
The paper discusses the detections for contour-based optical flow field of the LV of heart.
本文针对现有的依据光流场的分布来求相机运动参数的算法中不足，给出了一种依靠运动矢量的分布来求相机运动参数的方法。
Aiming at the shortcoming of current optical flow based camera motion parameter extracting methods, a new method is presented in this paper.
本文针对现有的依据光流场的分布来求相机运动参数的算法中不足，给出了一种依靠运动矢量的分布来求相机运动参数的方法。
Aiming at the shortcoming of current optical flow based camera motion parameter extracting methods, a new method is presented in this paper.
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