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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| Pengarang-pengarang Utama: | , , , , |
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| Format: | Artikel |
| Bahasa: | English |
| Diterbitkan: |
Indian Society for Education and Environment & Informatics Publishing Limited
2018
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| Subjek-subjek: | |
| Capaian Atas Talian: | http://irep.iium.edu.my/62341/ http://irep.iium.edu.my/62341/ http://irep.iium.edu.my/62341/1/Real-Time%20Human%20Action%20Recognition.pdf |
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