DocumentCode
481953
Title
Detection of unusual facial expression for human support systems
Author
Suzuki, Kotaro ; Kobayashi, Junya ; Takeshima, Toru ; Yamada, Keiichi
Author_Institution
Meijo Univ., Nagoya
fYear
2008
fDate
10-13 Nov. 2008
Firstpage
3414
Lastpage
3418
Abstract
This paper proposes a method for detection unusual or abnormal facial expression from a video image, by using Gabor feature and one-class SVM (OCSVM), for the purpose of monitoring human status and detecting unexpected change in humanpsilas physical condition.
Keywords
face recognition; support vector machines; Gabor feature; human support system; one-class SVM; support vector machines; unusual facial expression detection; Cameras; Condition monitoring; Face detection; Face recognition; Humans; Mouth; Pattern recognition; Supervised learning; Support vector machines; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
Conference_Location
Orlando, FL
ISSN
1553-572X
Print_ISBN
978-1-4244-1767-4
Electronic_ISBN
1553-572X
Type
conf
DOI
10.1109/IECON.2008.4758509
Filename
4758509
Link To Document