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AASCIT Communications | Volume 2, Issue 3 | Apr. 21, 2015 online | Page:55-60
Human Action Recognition System
Human action recognition has evoked considerable interest in the various research areas and applications due to its potential use in proactive computing. The objective of this work is to recognize various human actions like run, jump, walk etc. Moving Object detection and tracking is the first step for action recognition. The algorithm first makes use of the statistical background model and background subtraction method to extract the human action silhouettes. After extracting the silhouttes action recognition is done using template matching algorithm. Template matching algorithm employs correlation measure to find the similarity between the template and the given input.
S. Maheswari, Department of CSE, Manonmaniam Sundaranar University, Tirunelveli, India.
P. Arockia Jansi Rani, Department of CSE, Manonmaniam Sundaranar University, Tirunelveli, India.
Human Silhouette, Image Averaging, Template Matching, Correlation
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Arcticle History
Submitted: Mar. 31, 2015
Accepted: Apr. 12, 2015
Published: Apr. 21, 2015
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