Face tracking
Tadas Baltrušaitis & Peter Robinson
![]() Examples of tracked faces using our system
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Facial expression and head pose are rich sources of information which provide a very important communication channel in our everyday lives. Humans use them to reveal intent, display affection, express emotion, and help regulate turn-taking during conversation. Automated tracking and analysis of such visual cues would greatly benefit human computer interaction.
A crucial initial step in many emotion sensing, face recognition and human behaviour understanding systems is the estimation of head pose and tracking of facial feature points. Tracking these points of interest allows us to analyse their structure and motion. This allows us to understand the underlying meaning of the expressions.
In our work we explore various ways of tracking facial expressions in challenging environments, such as varying head pose, non-uniform lighting, and subtle naturalistic expressions.
The availability of accurate and affordable depth cameras leads us to explore this new and exciting channel for facial expression tracking.
Selected publications
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3D Constrained local model for rigid and non-rigid facial tracking
Tadas Baltrušaitis, Peter Robinson, and Louis-Philippe Morency
in IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, June 2012 [project][pdf] -
Analysis of Colour Space Transforms for Person Independent AAMs
Tadas Baltrušaitis and Peter Robinson
in Proceedings of the ACM / SSPNet 2nd International Symposium on Facial Analysis and Animation
[abstract][poster]