Given video footage of a person's face, we present new techniques to automatically recover the face position and the facial expression from each frame in the video sequence. ...
Frederic H. Pighin, Richard Szeliski, David Salesi...
This paper presents a system that is able to track multiple faces under varying pose (tilted and rotated) reliably in real-time. The system consists of two interactive modules. Th...
Tao Yang, Stan Z. Li, Quan Pan, Jing Li, Chunhui Z...
This paper presents a robust and accurate method for joint head pose and facial actions tracking, even under challenging conditions such as varying lighting, large head movements,...
We introduce a stochastic model to characterize the online computational process of an object recognition system based on a hierarchy of classifiers. The model is a graphical netwo...
This paper presents the Athens Information Technology system for 3D person tracking and the obtained results in the CLEAR 2007 evaluations. The system utilizes audiovisual informat...