Kanade-Lucas-Tomasi (KLT) Feature Tracker
Kanade-Lucas-Tomasi (KLT) Feature Tracker
Kanade-Lucas-Tomasi (KLT) Feature Tracker
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Standard <strong>KLT</strong> optical flow computation<br />
• Goal is to find that minimizes the matching function<br />
• To find the optimum<br />
• Let us substitute by its 1 st order Taylor expansion<br />
about the point<br />
frame difference Image gradient<br />
Computer Vision (EEE6503) Fall 2009, Yonsei Univ.