NDLI: Human age estimation using multi-class SVM

Content Provider	IEEE Xplore Digital Library
Author	Kyekyung Kim Sangseung Kang Sooyoung Chi Jaehong Kim
Copyright Year	2015
Description	Author affiliation: Intell. Cognitive Technol. Res. Dept., ETRI, Daejeon, South Korea (Kyekyung Kim; Sangseung Kang; Sooyoung Chi; Jaehong Kim)
Abstract	Age estimation from face images has attracted attention because it is expected to have many application fields and growing interest. Human age estimation is very difficult tasks because a person has a different in appearance, which varies along with environment even same age. And also, pose, lighting condition or expression has an effect to estimate human age. Age estimation has challenged due to aforementioned problem even it has various potential application fields. In this paper, age estimation using Gabor feature and support vector machine as a classifier has proposed. Age-specific face images has saved in database, which has captured in real world environment. Age estimation result has applied to interact with sports simulator, which provides specialized information to each person, who wants to get individualized exercise model on sports simulator. We have evaluated age estimation performance on ETRI database, which has constructed during several months in real world environment.
Starting Page	370
Ending Page	372
File Size	465775
Page Count	3
File Format	PDF
e-ISBN	9781467379717
DOI	10.1109/URAI.2015.7358911
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-28
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Human Sports Simulator Interaction Age estimation Estimation Optical imaging Gabor feature SVM classifier
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Identification and segmentation of exudates using SVM classifier

An effective feature extraction method for facial expression recognition using adaptive Gabor wavelet

Intelligent Human Fall Detection for Home Surveillance

Application of Gabor Filter and Multi-class SVM in Baking Bread Quality Classification

Detection of high-risk macular edema using texture features and classification using SVM classifier

Fault Diagnosis of Lead-Zinc Smelting Furnace based on Multi-Class Support Vector Machines

Automated hyperspectral imagery analysis via support vector machines based multi-classifier system with non-uniform random feature selection

On-road vehicle detectioin using histograms of multi-scale orientations

Detection of dermis and fascia on skin layers for liposuction surgery robot using texture and geometric information

Human age estimation using multi-class SVM

Similar Documents

Identification and segmentation of exudates using SVM classifier

An effective feature extraction method for facial expression recognition using adaptive Gabor wavelet

Intelligent Human Fall Detection for Home Surveillance

Application of Gabor Filter and Multi-class SVM in Baking Bread Quality Classification

Detection of high-risk macular edema using texture features and classification using SVM classifier

Fault Diagnosis of Lead-Zinc Smelting Furnace based on Multi-Class Support Vector Machines

Automated hyperspectral imagery analysis via support vector machines based multi-classifier system with non-uniform random feature selection

On-road vehicle detectioin using histograms of multi-scale orientations

Detection of dermis and fascia on skin layers for liposuction surgery robot using texture and geometric information

Human age estimation using multi-class SVM