NDLI: Human Activity Recognition Based on 3D Mesh MoSIFT Feature Descriptor

Content Provider	IEEE Xplore Digital Library
Author	Yue Ming
Copyright Year	2013
Description	Author affiliation: Sch. of Electron. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China (Yue Ming)
Abstract	The times of Big Data promotes increasingly higher demands for information processing. The rapid development of 3D digital capturing devices prompts the traditional behavior analysis towards fine motion recognition, such as hands and gesture. In this paper, a complete framework of 3D human activity recognition is presented for the behavior analysis of hands and gesture. First, the improved graph cuts method is introduced to hand segmentation and tracking. Then, combined with 3D geometric characteristics and human behavior prior information, 3D Mesh MoSIFT feature descriptor is proposed to represent the discriminant property of human activity. Simulation orthogonal matching pursuit (SOMP) is used to encode the visual code words. Experiments, based on a RGB-D video dataset and ChaLearn gesture dataset, show the improved accuracy of human activity recognition.
Starting Page	959
Ending Page	962
File Size	238174
Page Count	4
File Format	PDF
ISBN	9780769551371
DOI	10.1109/SocialCom.2013.151
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Visualization Three-dimensional displays Accuracy 3D digital capturing devices Motion segmentation 3D Mesh MoSIFT feature descriptor Hand segmentation and tracking Big Data Feature extraction Cameras 3D human activity recognition
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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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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