Supervision: Johann Paratte
Project type:
Master thesis
Finished
Idea : provide a complete survey of the state-of-the-art algorithms for visual tracking and improve the best-performing algorithm using MLBP and feature selection.
Objectives :
- provide a complete survey of visual tracking algorithms
- improve the best performing online tracking algorithm
- provide efficiency and multi-scale performance
** Skills required :**
- Programming (C++)
- Computer Vision