Supervision: Johann Paratte

Project type: Master thesis


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