文化大學機構典藏 CCUR:Item 987654321/51897
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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://irlib.pccu.edu.tw/handle/987654321/51897


    题名: Drone for Dynamic Monitoring and Tracking with Intelligent Image Analysis
    作者: Yao, Ching-Bang
    Kao, Chang-Yi
    Lin, Jiong-Ting
    贡献者: 資訊管理學系
    关键词: deep learning
    Drone
    equidistant track
    face detection
    human pose intention
    remote monitoring
    日期: 2023
    上传时间: 2023-04-13 12:46:18 (UTC+8)
    摘要: 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.
    關聯: Intelligent Automation and Soft Computing開放取用卷 36, 期 2, 頁 2233 - 2252 2023
    显示于类别:[資訊管理學系暨資訊管理研究所 ] 期刊論文

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