Feature extraction for human action recognition based on saliency map
Human Action Recognition (HAR) plays an important role in computer vision for the interaction between human and environments which has been widely used in many applications. The focus of the research in recent years is the reliability of the feature extraction to achieve high performance with the us...
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Format: | Thesis |
Language: | English |
Published: |
2018
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Online Access: | http://eprints.utm.my/id/eprint/79551/1/TanYiPingMFKE2018.pdf |
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