NDLI: Efficient modeling by selecting learning samples in human pose estimation

Content Provider	IEEE Xplore Digital Library
Author	Ukita, N. Matsuyama, Y. Hagita, N.
Copyright Year	2014
Description	Author affiliation: Nara Inst. of Sci. & Technol., Nara, Japan (Ukita, N.; Matsuyama, Y.; Hagita, N.)
Abstract	While the more learning data the better the recognition, increase in the data causes an expensive computational cost in learning. This paper proposes how to decrease the computational cost by appropriately selecting the learning data. In particular, we put our focus on learning for human pose estimation in still images. Three kinds of methods are proposed for learning data selection in this paper. The first one divides all data into several clusters in a feature space for avoiding duplication of similar data. The second one selects the data based on their distance from a discriminant plane for efficiently updating it. Third one merges those two methods as well as pruning in optimized pose search. Experimental results show that the proposed method can decrease the learning time by 79 % with less decrease in pose estimation accuracy.
Starting Page	1
Ending Page	6
File Size	342147
Page Count	6
File Format	PDF
ISBN	9781479936946
DOI	10.1109/MLSP.2014.6958917
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-21
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Estimation Accuracy Computational efficiency Support vector machines Deformable models Vectors Latent SVM Efficient learning Selecting samples Human pose estimation Deformable part model
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	Mr. Siddhartha Mukherjee siddhartha@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	ndl-support@iitkgp.ac.in
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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
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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