CENG 509

Vision Based Tracking and Modeling


This course covers the tracking of object and camera positions from images and videos by using computer vision techniques. Course contents include the mathematical theory and the algorithms used in practice necessary for modeling the objects and scene to be tracked.

Introduction to Tracking
Optical Flow and Lucas-Kanade Tracker
Template Tracking Basics
Advanced Template Tracking
Kalman Filter I
Kalman Filter II
Particle Filters
Introduction to Modeling
Sparse Models
3D Modeling
Semi-Dense models
Simultaneous Localization and Mapping I
Simultaneous Localization and Mapping II
Relocalization Approaches