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.
| Topics |
| 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 |
Instructor(s)
Other MS Courses
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