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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| Main Authors: | , |
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| 格式: | Article |
| 出版: |
Asian Research Publishing Network (ARPN)
2015
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| 主題: | |
| 在線閱讀: | http://eprints.utm.my/id/eprint/55226/ |
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