The main ways of visual motion analysis can be classified into feature based and optical flow based.
视觉运动分析分为基于特征的方法和基于光流场的方法。
L-K optical flow algorithm is not very suitable in facial feature point tracking.
原始l -K光流算法用于面部特征点跟踪时，易出现跟踪不稳定的情况。
This paper involves the research of reconstructing motion and structure of 3d rigid body with straight-line feature from straight-line optical flow.
本文主要研究基于直线光流场重建带直线特征的三维刚体运动和结构的计算理论和方法。
In this paper, a moving target tracking method based on feature optical flow is proposed. It well overcomes the main disadvantages of the available feature optical flow based methods.
本文提出一种基于特征光流的运动目标跟踪方法，较好地克服了以往基于特征光流的方法中存在的主要不足之处。
Propose an action recognition algorithm based on optical-flow feature and Sequence Alignment.
提出了一套基于光流特征和序列比对的行为识别算法。
This paper Proposed an action recognition algorithm based on optical-flow feature and sequence alignment.
提出一种基于光流特征与序列比对的行为识别算法。
This paper Proposed an action recognition algorithm based on optical-flow feature and sequence alignment.
提出一种基于光流特征与序列比对的行为识别算法。
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