Development of Track Estimation System for Floating Object Surveillance

NGUYEN Minh Due; Monotobu IMASATO; Yoichi FUTAK.I; Takayuki ASANUMA

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Development of Track Estimation System for Floating Object Surveillance

机译：漂浮物监视的航迹估计系统的开发

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Floating object detection and tracking has always been an important task for ensuring marine traffic safety and other surveillance purposes. To enable on scene observation, NMRI has developed a hybrid observing system. The system consists of a Laser Camera, a Night-vision Camera and an Infra-red (IR) Camera. By processing the collected IR images, this study aims at developing a floating objects track estimating system to support observation and provide warnings. The system should be able to automatically collect IR camera images and detect floating objects from those images, transferring the object positions to the sea surface and estimate the objects tracks from their positions on consecutive camera images.

机译：浮动物体的检测和跟踪一直是确保海上交通安全和其他监视目的的重要任务。为了进行现场观察，NMRI开发了一种混合观察系统。该系统由激光摄像机，夜视摄像机和红外（IR）摄像机组成。通过处理收集的红外图像，本研究旨在开发一种漂浮物航迹估计系统，以支持观察并提供警告。该系统应该能够自动收集红外热像仪图像并从这些图像中检测出漂浮的物体，将物体的位置转移到海面，并根据它们在连续的相机图像上的位置来估算物体的轨迹。

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来源
《日本航海学会論文集》 |2010年第2010期|p.69-76|共8页
作者
NGUYEN Minh Due; Monotobu IMASATO; Yoichi FUTAK.I; Takayuki ASANUMA;
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作者单位

Tokyo University of Marine Science and Technology;

National Maritime Research Institute;

NTT Communication Corporation;

Japan Oil, Gas and Metals National Corporation;

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原文格式 PDF
正文语种 jpn
中图分类
关键词
surveillance; IR image. Floating object detection; track estimation;

机译：监视;红外图像漂浮物检测;轨迹估计;

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1. Real-time robust 3D object tracking and estimation for surveillance system [J] . Park Jin-hyung, Rho Seungmin, Jeong Chang-sung Security and Communications Networks . 2014,第10期

机译：监控系统的实时鲁棒3D对象跟踪和估计
2. Real time object detection and tracking system for video surveillance system [J] . Sudan Jha, Changho Seo, Eunmok Yang, Multimedia Tools and Applications . 2021,第3期

机译：用于视频监控系统的实时对象检测与跟踪系统
3. Multi-object Detection and Tracking (MODT) Machine Learning Model for Real-Time Video Surveillance Systems [J] . Elhoseny M. Circuits, systems, and signal processing . 2020,第2期

机译：用于实时视频监控系统的多对象检测和跟踪（MODT）机器学习模型
4. OBJECT DETECTION AND TRACKING IN DISTRIBUTED SURVEILLANCE SYSTEMS USING MULTIPLE CAMERAS Object Detection and Tracking in Distributed Surveillance Systems Using Multiple Cameras [C] . C.S REGAZZONI, L. MARCENARO NATO advanced research workshop on multisensor data fusion . 2002

机译：使用多个摄像机的分布式监控系统中的多个摄像机对象检测和跟踪分布式监控系统的对象检测和跟踪
5. Deep-Learning-Based Multiple Object Tracking in Traffic Surveillance Video [D] . Ding, Liqiang. 2018

机译：基于深度学习的多对象跟踪在流量监控视频中
6. Detection and Tracking of Dynamic Objects by Using a Multirobot System: Application to Critical Infrastructures Surveillance [O] . Gonzalo Rodríguez-Canosa, Jaime del Cerro Giner, Antonio Barrientos 2014

机译：通过使用多机器人系统检测和跟踪动态对象：在关键基础设施监视中的应用
7. Development of Track Estimation System for Floating Object Surveillance [O] . Minh Duc NGUYEN, Monotobu IMASATO, Yoichi FUTAKI, 2010

机译：浮动对象监测轨道估计系统的发展

Development of Track Estimation System for Floating Object Surveillance

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