Explore the fundamentals of object tracking in computer vision through this 39-minute lecture from the University of Central Florida. Delve into the Kanade-Lucas-Tomasi (KLT) algorithm, understanding its core concepts and applications. Learn about tracking principles, multiple camera setups, and simple tracking examples. Examine the Jacobian matrix and its role in tracking, along with various translation models. Gain insights into the basic concepts of the KLT algorithm and its significance in visual tracking systems.
Karhunen-Loève Transform (KLT) Algorithm for Tracking - Lecture 10
University of Central Florida via YouTube
Overview
Syllabus
Intro
What is Tracking
Example of Tracking
Example of Multiple Cameras
Simple Tracking
Examples
Jacobian
Jakob Jacobi
Translation Models
KLT Algorithm
Basic Concept
Taught by
UCF CRCV
