Kanade-Lucas-Tomasi (KLT) Feature Tracker
Kanade-Lucas-Tomasi (KLT) Feature Tracker
Kanade-Lucas-Tomasi (KLT) Feature Tracker
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Problem Statement<br />
• I, J : 1 st and 2 nd grayscaled images<br />
• I(x,y) : gray value of I at [x y] T<br />
• Let u=[u x u y ] T be a point on the 1 st image I<br />
• The goal is to find v on J, where I(u) and J(v) are<br />
similar. (v= u+d = [u x +d x u y +d y ] T )<br />
• d=[d x d y ] T is the image velocity at u<br />
or the optical flow at u.<br />
Computer Vision (EEE6503) Fall 2009, Yonsei Univ.