Thus, we adopt sparse optical flow approach by combing that two approaches in this paper.
因此本文结合两种方法，采用稀疏光流法进行计算。
Finally, we estimate 3-d motion and structure parameters of the body by sparse optical flow.
最后，利用稀疏光流进行三维物体运动参数和结构参数的估计。
Sparse optical flow method was proposed for satisfying the requirement of real-time control and improving the efficiency of matching corresponding points in two im ages.
为了满足实时跟踪控制的需要，提高两幅图象之间对应点的匹配效率，提出了稀疏光流算法。
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