Human Action Recognition System
نویسنده
چکیده
uman 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.
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تاریخ انتشار 2015