TELKOMNIKA Telecommunication, Computing, Electronics and Control
A proposal model using deep learning model integrated with knowledge graph for monitoring human behavior in forest protection
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A proposal model using deep learning model integrated with knowledge graph for monitoring human behavior in forest protection
A proposal model using deep learning model integrated with knowledge graph for monitoring human behavior in forest protection
Subject
Deep learning, Forest protection, Human action recognition, Identifying human behavior, Video time-lapse
Description
In conventional monitoring of human behavior in forest protection, deep
learning approaches can be detected human behavior significantly since
thousands of visitors’ forest protection is abnormal and normal behaviors coming to national or rural forests. This paper has presented a new approach using a deep learning model integrated with a knowledge graph for the surveillance monitoring system to be activated to confirm human behavior in a real-time video together with its tracking human profile. To confirm the proposed model, the proposed model has been tested with data sets through case studies with real-time video of a forest. The proposed model provides a novel approach using face recognition with its behavioral surveillance of the human profile integrated with the knowledge graph. Experimental results show that the proposed model has demonstrated the model’s effectiveness.
learning approaches can be detected human behavior significantly since
thousands of visitors’ forest protection is abnormal and normal behaviors coming to national or rural forests. This paper has presented a new approach using a deep learning model integrated with a knowledge graph for the surveillance monitoring system to be activated to confirm human behavior in a real-time video together with its tracking human profile. To confirm the proposed model, the proposed model has been tested with data sets through case studies with real-time video of a forest. The proposed model provides a novel approach using face recognition with its behavioral surveillance of the human profile integrated with the knowledge graph. Experimental results show that the proposed model has demonstrated the model’s effectiveness.
Creator
Van Hai Pham, Quoc Hung Nguyen, Thanh Trung Le, Thi Xuan Dao Nguyen, Thi Thuy Kieu Phan
Source
DOI: 10.12928/TELKOMNIKA.v20i6.24087
Publisher
Universitas Ahmad Dahlan
Date
December 2022
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Van Hai Pham, Quoc Hung Nguyen, Thanh Trung Le, Thi Xuan Dao Nguyen, Thi Thuy Kieu Phan, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
A proposal model using deep learning model integrated with knowledge graph for monitoring human behavior in forest protection,” Repository Horizon University Indonesia, accessed November 22, 2024, https://repository.horizon.ac.id/items/show/4474.
A proposal model using deep learning model integrated with knowledge graph for monitoring human behavior in forest protection,” Repository Horizon University Indonesia, accessed November 22, 2024, https://repository.horizon.ac.id/items/show/4474.