NDLI: Human action recognition with extremities as semantic posture representation

Content Provider	IEEE Xplore Digital Library
Author	Yu, E. Aggarwal, J.K.
Copyright Year	2009
Description	Author affiliation: Comput. & Vision Res. Center, Univ. of Texas at Austin, Austin, TX, USA (Yu, E.; Aggarwal, J.K.)
Abstract	In this paper, we present an approach for human action recognition with extremities as a compact semantic posture representation. First, we develop a variable star skeleton representation (VSS) in order to accurately find human extremities from contours. Earlier, Fujiyoshi and Lipton proposed an image skeletonization technique with the center of mass as a single star for rapid motion analysis. Yu and Aggarwal used the highest contour point as the second star in their application for fence climbing detection. We implement VSS and earlier algorithms and compare their performance over a set of 1000 frames from 50 sequences of persons climbing fences to analyze the characteristic of each representation. Our results show that VSS performs the best. Second, we build feature vectors out of detected extremities for hidden Markov model (HMM) based human action recognition. On the data set of human climbing fences, we achieved excellent classification accuracy. On the publicly available Blank et al. data set, our approach showed that using only extremities is sufficient to obtain comparable classification accuracy against other state-of-the-art performance. The advantage of our approach lies in the less time complexity with comparable classification accuracy.
Starting Page	1
Ending Page	8
File Size	316976
Page Count	8
File Format	PDF
ISBN	9781424439942
ISSN	21607508
DOI	10.1109/CVPRW.2009.5204242
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Variable structure systems Computer vision Humans Hidden Markov models Cameras Skeleton Performance analysis Motion analysis Extremities Videos
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	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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