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An Efficient Algorithm for Recognition of Human Actions
Joint Authors
Mahmood, M. Khalid
Khan, Sher Afzal
Ahmad, Farooq
Khan, Yaser Daanial
Khan, Nabeel Sabir
Farooq, Shoaib
Abid, Adnan
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-27
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Recognition of human actions is an emerging need.
Various researchers have endeavored to provide a solution to this problem.
Some of the current state-of-the-art solutions are either inaccurate or computationally intensive while others require human intervention.
In this paper a sufficiently accurate while computationally inexpensive solution is provided for the same problem.
Image moments which are translation, rotation, and scale invariant are computed for a frame.
A dynamic neural network is used to identify the patterns within the stream of image moments and hence recognize actions.
Experiments show that the proposed model performs better than other competitive models.
American Psychological Association (APA)
Khan, Yaser Daanial& Khan, Nabeel Sabir& Farooq, Shoaib& Abid, Adnan& Khan, Sher Afzal& Ahmad, Farooq…[et al.]. 2014. An Efficient Algorithm for Recognition of Human Actions. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1051447
Modern Language Association (MLA)
Khan, Yaser Daanial…[et al.]. An Efficient Algorithm for Recognition of Human Actions. The Scientific World Journal No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1051447
American Medical Association (AMA)
Khan, Yaser Daanial& Khan, Nabeel Sabir& Farooq, Shoaib& Abid, Adnan& Khan, Sher Afzal& Ahmad, Farooq…[et al.]. An Efficient Algorithm for Recognition of Human Actions. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1051447
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051447