TY - JOUR
T1 - Single image face orientation and gaze detection
AU - Kaminski, Jeremy Yrmeyahu
AU - Knaan, Dotan
AU - Shavit, Adi
PY - 2009/11
Y1 - 2009/11
N2 - We introduce a system to compute both head orientation and gaze detection from a single image. The system uses a camera with fixed parameters and requires no user calibration. Our approach to head orientation is based on a geometrical model of the human face, and is derived form morphological and physiological data. Eye gaze detection is based on a geometrical model of the human eye. Two new algorithms are introduced that require either two or three feature points to be extracted from each image. Our algorithms are robust and run in real-time on a typical PC, which makes our system useful for a large variety of needs, from driver attention monitoring to machine-human interaction.
AB - We introduce a system to compute both head orientation and gaze detection from a single image. The system uses a camera with fixed parameters and requires no user calibration. Our approach to head orientation is based on a geometrical model of the human face, and is derived form morphological and physiological data. Eye gaze detection is based on a geometrical model of the human eye. Two new algorithms are introduced that require either two or three feature points to be extracted from each image. Our algorithms are robust and run in real-time on a typical PC, which makes our system useful for a large variety of needs, from driver attention monitoring to machine-human interaction.
KW - Human activity recognition
KW - Intelligent driver support
KW - Target detection
KW - Vision system
KW - Visual tracking
UR - http://www.scopus.com/inward/record.url?scp=70350046976&partnerID=8YFLogxK
U2 - 10.1007/s00138-008-0143-1
DO - 10.1007/s00138-008-0143-1
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AN - SCOPUS:70350046976
SN - 0932-8092
VL - 21
SP - 85
EP - 98
JO - Machine Vision and Applications
JF - Machine Vision and Applications
IS - 1
ER -