Lipto 等人[13]提出区域配对法(Region Matching Algorithm)，藉 由比对相邻画面所有移动物间之关连性，寻找具最小关系之物件，定该 物件为移动物的新位置。
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The dense matching algorithm has shown its advantage in this aspect. The thesis mainly discussed the problems of region-growth algorithm and made some improvements.
该文主要讨论了基于区域增长的匹配算法中存在的问题，并对此算法进行了改进。
Aiming at the tracking problem of targets in video sequence images, a multi-target tracking algorithm based on region matching is proposed.
针对视频序列中目标的跟踪问题，提出了一种基于模版匹配的多目标跟踪算法。
A gradient-based stereo image matching algorithm is developed by using the image gradient-related as the matching feature, especially for the space size measurement of a small region.
面向局部检测区域小的空间尺寸测量问题，利用图像的梯度相关作为匹配特性，开发一种高效的基于梯度图像的立体匹配算法。
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