NDLI: Silhouette-based human motion estimation for movement education of young children

Content Provider	IEEE Xplore Digital Library
Author	Hye-Jeong Kim Kyoung-Mi Lee
Copyright Year	2006
Description	Author affiliation: Duksung Women.s University, Seoul 132-714, Korea (Hye-Jeong Kim; Kyoung-Mi Lee)
Abstract	To estimate a human motion, in this paper, we propose a neural approach using silhouettes in video frames captured by two cameras placed at the front and side of the human body. To extract features of the silhouettes for motion estimation, the proposed system computes both global and local features and then groups these features into static and dynamic features depending on whether features are in a static frame. Extracted features are used to train a RBF network. The neural system uses static features as the input of the neural network and dynamic features as additional features for classification. In this paper, the proposed method was applied to movement education for young children. The basic movements for such education consist of locomotor movements, such as walking, jumping, and hopping, and non-locomotor movements, including bending, stretching, balancing and turning. The system demonstrated the effectiveness of motion estimation for movement education generated by the proposed neural network.
Sponsorship	IEEE Comput. Soc
Starting Page	673
Ending Page	678
File Size	398635
Page Count	6
File Format	PDF
ISBN	0769526748
DOI	10.1109/ICHIT.2006.253681
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-09
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion estimation Biological system modeling Neural networks Humans Hidden Markov models Cameras Feature extraction Application software Videoconference Pixel
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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