Tracker

KLT tracker implementation

KLT tracker implementation
  1. How does KLT Tracker work?
  2. What is KLT in computer vision?

How does KLT Tracker work?

The KLT tracks an object in two steps; it locates the trackable features in the initial frame, and then tracks each one of the detected features in the rest of the frames by means of its displacement. The displacement of the specific feature is then defined as the displacement that minimizes the sum of differences.

What is KLT in computer vision?

In computer vision, the Kanade–Lucas–Tomasi (KLT) feature tracker is an approach to feature extraction. It is proposed mainly for the purpose of dealing with the problem that traditional image registration techniques are generally costly.

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