Predicting Human Activity with LSTM Face Detection on Server Surveillance System-Reference-Cited by-同舟云学术

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Predicting Human Activity with LSTM Face Detection on Server Surveillance System

Published:2023-02-20 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
language:
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Author:

Nurenie Alexander¹,Heryadi Yaya¹,Lukas ²,Suparta Wayan³,Arifin Yulyani¹

Affiliation:

1. BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University,Computer Science Department,Indonesia

2. Universitas Katolik Indonesia Atma Jaya,Cognitive Engineering Research Group (CERG),Indonesia

3. Institut Teknologi Nasional Yogyakarta,Faculty of Industrial Technology,Department of Electrical Engineering,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10066849/10066958/10066981.pdf?arnumber=10066981

Reference23 articles.

1. Vision Transformer and Deep Sequence Learning for Human Activity Recognition in Surveillance Videos

2. Passenger flow prediction in bus transportation system using deep learning

3. A Comparison of the State-of-the-Art Deep Learning Platforms: An Experimental Study

4. Performance comparison of deep learning frameworks;yapici;Computers and Informatics,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Extensive Analysis of Deep Learning-Based Human Activity Detection Techniques;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04

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