Kanade–Lucas–Tomasi feature tracker
E295650
UNEXPLORED
The Kanade–Lucas–Tomasi feature tracker is a widely used computer vision algorithm for robustly tracking distinctive image features across video frames, building on the Lucas–Kanade optical flow method with Tomasi’s feature selection criteria.
Referenced by (1)
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Takeo Kanade
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