NDLI: Recognizing Actions with Multi-view 2D Observations Recovered from Depth Maps

Content Provider	IEEE Xplore Digital Library
Author	Guoliang Lu Yiqi Zhou Xueyong Li
Copyright Year	2014
Description	Author affiliation: Key Lab. of High-efficiency & Clean Mech. Manuf., Shandong Univ. Jinan, Jinan, China (Guoliang Lu; Yiqi Zhou; Xueyong Li)
Abstract	Depth maps based action recognition has been received much research attention in recent years due to its robustness to environmental elements in capturing and its relatively well performance in protecting user's privacy. Taking the captured sequential depth maps as inputs, we propose a framework in this paper to recognize actions from such data. We first recover multi-view 2D observations in each frame of the sequence and then accumulate them by employing motion energy image (MEI) in each observing view. Action features that combines occupancy and motion descriptors are extracted for capturing the discriminative patterns in resulted MEIs, and then fed to action modeling based on Gaussian Mixture Model (GMM) or recognition based on Bayesian theory. Experimental results on MSR Action3D dataset show a better recognition performance by the proposed framework, compared with three competitors, which reveals its effectiveness and priority in depth maps based action recognition.
Starting Page	622
Ending Page	625
File Size	571047
Page Count	4
File Format	PDF
e-ISBN	9781479953905
DOI	10.1109/IIH-MSP.2014.161
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-27
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	3D action recognition action representation Visualization Image recognition Computational modeling RGB-D sensor action depth maps Streaming media Feature extraction Pattern recognition Multimedia communication
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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