High-performance face tracking

  • Authors:

  • Nenad Markuš;Miroslav Frljak;Igor S. Pandžić;Jörgen Ahlberg;Robert Forchheimer

  • Affiliations:

  • -;-;-;-;-

  • Venue:
  • Proceedings of the 3rd Symposium on Facial Analysis and Animation
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

Face tracking is an extensively studied field. Nevertheless, it is still a challenge to make a robust and efficient face tracker, especially on mobile devices. This extended abstract briefly describes our implementation of a high-performance multi-platform face and facial feature tracking system. The main characteristics of our approach are that the tracker is fully automatic and works with the majority of faces without any manual initialization. It is robust, resistant to rapid changes in pose and facial expressions, does not suffer from drifting and is modestly computationally expensive. The tracker runs in real-time on mobile devices.