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Unsupervised feature based key-frame extraction towards face recognition
Joint Authors
Selvaganesan, Jana
Natarajan, Kannan
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 6A(s) (31 Dec. 2016), pp.777-783, 7 p.
Publisher
Publication Date
2016-12-31
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
A convenient and most effective method of querying a video database for robust face recognition is by using key-frames extracted from the image sequence.
In this paper we present a clustering based approach that bypasses the need for shot detection or segmentation, to extract the key-frames from the video using the local features, for the purpose of face recognition.
Local features which are insensitive to noise, displacement, scale, rotation and illumination, are extracted from arbitrary points on the images based on Speeded Up Robust Feature (SURF) algorithm.
The frames are then clustered using sequential K-means algorithm.
A representative frame from each cluster called the key-frame is then determined for subsequent use in video based face recognition.
The proposed method has been demonstrated with experimental results obtained using Honda/UCSD (name of a standard database available for face recognition research) dataset 1.
American Psychological Association (APA)
Selvaganesan, Jana& Natarajan, Kannan. 2016. Unsupervised feature based key-frame extraction towards face recognition. The International Arab Journal of Information Technology،Vol. 13, no. 6A(s), pp.777-783.
https://search.emarefa.net/detail/BIM-792105
Modern Language Association (MLA)
Selvaganesan, Jana& Natarajan, Kannan. Unsupervised feature based key-frame extraction towards face recognition. The International Arab Journal of Information Technology Vol. 13, no. 6A (Special issue) (Dec. 2016), pp.777-783.
https://search.emarefa.net/detail/BIM-792105
American Medical Association (AMA)
Selvaganesan, Jana& Natarajan, Kannan. Unsupervised feature based key-frame extraction towards face recognition. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 6A(s), pp.777-783.
https://search.emarefa.net/detail/BIM-792105
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 782-783
Record ID
BIM-792105