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...

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Bibliographic Details
Main Authors: Muhammad Hameed Siddiqi, Madallah Alruwaili, Amjad Ali
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8808886/