Face image recognition based on time series motif discovery

Chi, L; Feng, Y; Chi, H; Huang, Y

Face image recognition based on time series motif discovery

Chi, L Feng, Y Chi, H Huang, Y

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2012 IEEE International Conference on Granular Computing (GrC), 2012, pp. 72 - 77
Issue Date:: 2012-01

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Field	Value	Language
dc.contributor.author	Chi, L	en_US
dc.contributor.author	Feng, Y	en_US
dc.contributor.author	Chi, H	en_US
dc.contributor.author	Huang, Y	en_US
dc.contributor.editor	NA	en_US
dc.date	2012-08-11	en_US
dc.date.issued	2012-01	en_US
dc.identifier.citation	2012 IEEE International Conference on Granular Computing (GrC), 2012, pp. 72 - 77	en_US
dc.identifier.isbn	978-1-4673-2310-9	en_US
dc.identifier.uri	http://hdl.handle.net/10453/22962
dc.description.abstract	This paper proposes a new face image recognition method based on time series motifs. Time series motifs are previously unknown, frequently occurring patterns in time series. In this paper, we make full use of time series motifs to discovery and recognize the face images. First, we convert face images into time series by extracting the time series features from three (primary color) vectors of the color face images. Second, we introduce our time series motif discovery algorithm to excavate the hidden motifs from the time series of color face images. Third, we find the relationship among these generated time series. At last, experiments are conducted to verify the feasibility and effectiveness of our algorithm, and we can safely draw a conclusion that our approach in the face recognition field is valid and successfully realizes the face image recognition from a new perspective.	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartof	2012 IEEE International Conference on Granular Computing (GrC)	en_US
dc.relation.ispartof	IEEE International Conference on Granular Computing (GrC)	en_US
dc.relation.isbasedon	10.1109/GrC.2012.6468574	en_US
dc.rights	© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Face image recognition based on time series motif discovery	en_US
dc.type	Conference Proceeding
utslib.location	Piscataway, USA	en_US
utslib.location.activity	Hangzhou	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Hangzhou	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Piscataway, USA	en_US
pubs.start-date	2012-08-11	en_US

Abstract:

This paper proposes a new face image recognition method based on time series motifs. Time series motifs are previously unknown, frequently occurring patterns in time series. In this paper, we make full use of time series motifs to discovery and recognize the face images. First, we convert face images into time series by extracting the time series features from three (primary color) vectors of the color face images. Second, we introduce our time series motif discovery algorithm to excavate the hidden motifs from the time series of color face images. Third, we find the relationship among these generated time series. At last, experiments are conducted to verify the feasibility and effectiveness of our algorithm, and we can safely draw a conclusion that our approach in the face recognition field is valid and successfully realizes the face image recognition from a new perspective.

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http://hdl.handle.net/10453/22962