NDLI: Temporal key poses for human action recognition

Content Provider	IEEE Xplore Digital Library
Author	Eweiwi, A. Cheema, S. Thurau, C. Bauckhage, C.
Copyright Year	2011
Description	Author affiliation: Bonn-Aachen International Center for IT, University of Bonn, Germany (Eweiwi, A.; Cheema, S.; Thurau, C.; Bauckhage, C.)
Abstract	In this paper, we present a simple yet effective approach to recognizing human activities from video sequences. Our approach integrates the advantages of human action recognition in static images using action key poses and motion based approaches using the variants of Motion History Images (MHI) and Motion Energy Images(MEI). We combine both methodologies to extract a new representation of temporal key poses. In an evaluation of this on well established benchmark data we achieve high recognition rates. For the task of action recognition using the MuHAVi data set, we achieve an accuracy of 98.5% in a leave-one-out cross validation procedure. For single-view action recognition using the popular Weizmann data sets, we achieve an accuracy of 100%. In more difficult evaluation setups where the number of training samples for certain individuals or views are restricted, the proposed method exceeds recently published results of other approaches. Moreover, the introduced approach is computationally efficient, robust with respect to parameter selection, and straight forward to implement as it builds on well established and understood concepts.
Starting Page	1310
Ending Page	1317
File Size	885264
Page Count	8
File Format	PDF
ISBN	9781467300629
e-ISBN	9781467300636
DOI	10.1109/ICCVW.2011.6130403
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Shape Humans Cameras Feature extraction Image sequences History
Content Type	Text
Resource Type	Article

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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
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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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