A Novel Feature Selection Method for Video-Based Human Activity Recognition Systems
This paper introduces a new feature selection approach for human activity recognition systems to accurately recognize the human activities. We proposed normalized mutual information-based feature selection (NMIFS) method that will select good features extracted from numerous existing feature extract...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8808886/ |