Drone for Dynamic Monitoring and Tracking with Intelligent Image Analysis

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Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/51897

Title:	Drone for Dynamic Monitoring and Tracking with Intelligent Image Analysis
Authors:	Yao, Ching-Bang Kao, Chang-Yi Lin, Jiong-Ting
Contributors:	資訊管理學系
Keywords:	deep learning Drone equidistant track face detection human pose intention remote monitoring
Date:	2023
Issue Date:	2023-04-13 12:46:18 (UTC+8)
Abstract:	Traditional monitoring systems that are used in shopping malls or community management, mostly use a remote control to monitor and track specific objects; therefore, it is often impossible to effectively monitor the entire environment. When finding a suspicious person, the tracked object cannot be locked in time for tracking. This research replaces the traditional fixed-point monitor with the intelligent drone and combines the image processing technology and automatic judgment for the movements of the monitored person. This intelligent system can effectively improve the shortcomings of low efficiency and high cost of the traditional monitor system. In this article, we proposed a TIMT (The Intelligent Monitoring and Tracking) algorithm which can make the drone have smart surveillance and tracking capabilities. It combined with Artificial Intelligent (AI) face recognition technology and the OpenPose which is able to monitor the physical movements of multiple people in real time to analyze the meaning of human body movements and to track the monitored intelligently through the remote control interface of the drone. This system is highly agile and could be adjusted immediately to any angle and screen that we monitor. Therefore, the system could find abnormal conditions immediately and track and monitor them automatically. That is the system can immediately detect when someone invades the home or community, and the drone can automatically track the intruder to achieve that the two significant shortcomings of the traditional monitor will be improved. Experimental results show that the intelligent monitoring and tracking drone system has an excellent performance, which not only dramatically reduces the number of monitors and the required equipment but also achieves perfect monitoring and tracking. © The Authors.
Relation:	Intelligent Automation and Soft Computing開放取用卷 36, 期 2, 頁 2233 - 2252 2023
Appears in Collections:	[Department of Information Management & Graduate Institute of Information Management] periodical articles

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