Real-time human action recognition using stacked sparse autoencoders

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Real-time human action recognition using stacked sparse autoencoders

Objectives: In this paper, an automated real-time human and human-action detection system is developed using Histogram of Oriented Gradients (HOG) and Stacked Sparse Auto-encoders respectively. Methods: For human detection, a feature descriptor is trained using SVM classifier and then is used for i...

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Bibliographic Details
Main Authors:	Farooq, Adnan, Mohammad, Emad U Din, Ahmad Zarir, Abdullah, Ismail, Amelia Ritahani, Sulaiman, Suriani
Format:	Article
Language:	English
Published:	Indian Society for Education and Environment & Informatics Publishing Limited 2018
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/62341/ http://irep.iium.edu.my/62341/1/Real-Time%20Human%20Action%20Recognition.pdf

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