NDLI: Facial Expression Recognition in Image Sequences Using Active Shape Model and SVM

Content Provider	IEEE Xplore Digital Library
Author	Patil, R.A. Sahula, V. Mandal, A.S.
Copyright Year	2011
Abstract	This paper introduces a method for automatic facial expression recognition in image sequences, which make use of Candide wire frame model and active appearance algorithm for tracking, and support vector machine for classification. Candide wire frame model is adapted properly on the first frame of face image sequence. Facial features in subsequent frames of image sequence are tracked using active appearance algorithm. The algorithm adapts Candide wire frame model to the face in each of the frames and tracks the grid in consecutive video frames over time. Last frame of image sequence corresponds to greatest facial expression intensity. The geometrical displacement of Candide wire frame nodes, defined as the difference of the node coordinates between the first and the greatest facial expression intensity frame, is used as an input to the support vector machine, which classifies facial expression into one of the class such as happy, surprise, sad, anger, disgust and fear.
Starting Page	168
Ending Page	173
File Size	357360
Page Count	6
File Format	PDF
ISBN	9781467300605
DOI	10.1109/EMS.2011.25
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-16
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Adaptation models Computational modeling Wires active appearance model Vectors Candide wire frame model Image sequences SVM Face
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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