Target tracking using video surveillance for enabling machine vision services at the edge of marine transportation systems based on microwave remote sensing

Meiyan Li, Qinyong Wang, Yuwei Liao
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Abstract

Automatic target tracking in emerging remote sensing video-generating tools based on microwave imaging technology and radars has been investigated in this paper. A moving target tracking system is proposed to be low complexity and fast for implementation through edge nodes in a mini-satellite or drone network enabling machine intelligence into large-scale vision systems, in particular, for marine transportation systems. The system uses a group of image processing tools for video pre-processing, and Kalman filtering to do the main task. For testing the system performance, two measures of accuracy and false alarms probability are computed for real vision data. Two types of scenes are analyzed including the scene with single target, and the scene with multiple targets that is more complicated for automatic target detection and tracking systems. The proposed system has achieved a high performance in our tests.
基于微波遥感,利用视频监控进行目标跟踪,在海洋运输系统边缘实现机器视觉服务
本文研究了基于微波成像技术和雷达的新兴遥感视频生成工具中的自动目标跟踪。本文提出了一种移动目标跟踪系统,该系统复杂度低、速度快,可通过微型卫星或无人机网络中的边缘节点实现,从而将机器智能应用于大规模视觉系统,特别是海洋运输系统。该系统使用一组图像处理工具进行视频预处理,并使用卡尔曼滤波完成主要任务。为测试系统性能,对真实视觉数据计算了准确率和误报概率两个指标。分析了两类场景,包括单目标场景和多目标场景,后者对于自动目标检测和跟踪系统来说更为复杂。在我们的测试中,提议的系统取得了很高的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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