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

Detailed record