Recognition of human activities from still image using novel classifier

The quest for recognizing human activities and categorizing their features from still images using efficient and accurate classifier is never ending. This is more challenging than extracting information from video due to the absence of any prior knowledge resembling frames stream. Human Activities R...

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Bibliographic Details
Main Authors: Sulong, Ghazali, Mohammedali, Ammar
Format: Article
Published: Asian Research Publishing Network (ARPN) 2015
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Online Access:http://eprints.utm.my/id/eprint/55226/
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