TY - CHAP
T1 - Head pose estimation with one camera, in uncalibrated environments
AU - Asteriadis, Stylianos
AU - Karpouzis, Kostas
AU - Kollias, Stefanos
PY - 2010
Y1 - 2010
N2 - Head pose together with eye gaze are a reliable indication regarding the estimate of the focus of attention of a person standing in front of a camera, with applications ranging from driver's attention estimation to meeting environments. As gaze indication, eye gaze in non-intrusive or non highly specialized environments is, most times, difficult to detect and, when possible, combination with head pose is necessary. Also, in order to successfully track the rotation angles of the head, a priori knowledge regarding the equipment setup parameters is needed, or specialized hardware, that can be intrusive is required. Here, we propose a novel facial feature tracker that uses Distance Vector Fields (DVFs) and, combined with a new technique for face tracking, successfully detects facial feature positions during an image sequence and estimates head pose parameters. No a priori knowledge regarding camera or environmental parameters is needed for our technique. © 2010 ACM.
AB - Head pose together with eye gaze are a reliable indication regarding the estimate of the focus of attention of a person standing in front of a camera, with applications ranging from driver's attention estimation to meeting environments. As gaze indication, eye gaze in non-intrusive or non highly specialized environments is, most times, difficult to detect and, when possible, combination with head pose is necessary. Also, in order to successfully track the rotation angles of the head, a priori knowledge regarding the equipment setup parameters is needed, or specialized hardware, that can be intrusive is required. Here, we propose a novel facial feature tracker that uses Distance Vector Fields (DVFs) and, combined with a new technique for face tracking, successfully detects facial feature positions during an image sequence and estimates head pose parameters. No a priori knowledge regarding camera or environmental parameters is needed for our technique. © 2010 ACM.
KW - Facial feature tracking
KW - Head pose
KW - User attention estimation
U2 - 10.1145/2002333.2002343
DO - 10.1145/2002333.2002343
M3 - Chapter
SN - 9781605589992
T3 - Proceedings of the 2010 workshop on Eye gaze in intelligent human machine interaction - EGIHMI '10
SP - 55
EP - 62
BT - Proceedings of the 2010 workshop on Eye gaze in intelligent human machine interaction - EGIHMI '10
PB - ACM Press
CY - New York, New York, USA
ER -