TY - GEN
T1 - Face occlusion detection by using B-spline active contour and skin color information
AU - Kim, Gahyun
AU - Suhr, Jae Kyu
AU - Jung, Ho Gi
AU - Kim, Jaihie
PY - 2010
Y1 - 2010
N2 - This paper proposes a face occlusion verification method for an automated teller machine (ATM) application. The proposed method mainly consists of three steps. Firstly, a head and shoulder shape is detected by applying B-spline active contour to motion edges. This motion edge is generated by a kurtosis-based frame selection and distance transformation-based motion edge detection. Secondly, a face area is estimated by fitting an ellipse to the detected head and shoulder shape. Finally, occlusion of the face area is determined by measuring skin color area ratio (SCAR) of whole face area and facial component areas. Experimental results show that the proposed head and shoulder detection method has 94.8% detection rate even though there are various types of severe occlusions in faces, and the proposed occlusion verifier has 86.7% verification rate.
AB - This paper proposes a face occlusion verification method for an automated teller machine (ATM) application. The proposed method mainly consists of three steps. Firstly, a head and shoulder shape is detected by applying B-spline active contour to motion edges. This motion edge is generated by a kurtosis-based frame selection and distance transformation-based motion edge detection. Secondly, a face area is estimated by fitting an ellipse to the detected head and shoulder shape. Finally, occlusion of the face area is determined by measuring skin color area ratio (SCAR) of whole face area and facial component areas. Experimental results show that the proposed head and shoulder detection method has 94.8% detection rate even though there are various types of severe occlusions in faces, and the proposed occlusion verifier has 86.7% verification rate.
UR - http://www.scopus.com/inward/record.url?scp=79952431967&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79952431967&partnerID=8YFLogxK
U2 - 10.1109/ICARCV.2010.5707762
DO - 10.1109/ICARCV.2010.5707762
M3 - Conference contribution
AN - SCOPUS:79952431967
SN - 9781424478132
T3 - 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010
SP - 627
EP - 632
BT - 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010
T2 - 11th International Conference on Control, Automation, Robotics and Vision, ICARCV 2010
Y2 - 7 December 2010 through 10 December 2010
ER -