Description: KLT tracking algorithm to select a point of interest and tracking. KLT tracking algorithm original idea is to study the matching between different images, by calculating the two translational window gray residuals and seeks to minimize the residual SSD (sum of square Difference) matching. But this process is not efficient, KLT algorithm has been optimized. In this process, the KLT algorithm uses the Taylor expansion of the direct calculation of the translation vector, without the need to search by traversing.
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