An Efficient Algorithm for Recognition of Human Actions

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 accurat...

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Bibliographic Details
Published in:TheScientificWorld 2014-01, Vol.2014 (2014), p.1-11
Main Authors: Mahmood, M. Khalid, Khan, Sher Afzal, Abid, Adnan, Farooq, Shoaib, Khan, Nabeel Sabir, Khan, Yaser Daanial, Ahmad, Farooq
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Classification
Colleges & universities
Competition
Humans
Image Interpretation, Computer-Assisted - methods
Image Interpretation, Computer-Assisted - standards
Kinematics
Movement
Neural Networks (Computer)
Pattern Recognition, Automated - methods
Pattern Recognition, Automated - standards
Principal Component Analysis
Principal components analysis
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Summary: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.
ISSN:2356-6140
1537-744X
DOI:10.1155/2014/875879