Real-time human action recognition using stacked sparse autoencoders

• 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/62341/1/Real-Time%20Human%20Action%20Recognition.pdf; http://irep.iium.edu.my/62341/; http://www.indjst.org/index.php/indjst/article/view/121090/83462
• Institution: Universiti Islam Antarabangsa Malaysia

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...