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A Robust Target Detection Algorithm Using MEMS Inertial Sensors for Shipboard Video System

机译:基于MEMS惯性传感器的舰船视频系统鲁棒目标检测算法

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Marine situational awareness is the core technology of intelligent ship, and the target detection is the important foundation of situational awareness. In this paper, a robust target detection algorithm using MEMS inertial sensors is proposed for sky-sea line detection for shipboard video system, the key idea is using the inertial data of the shipborne camera to estimate the position and angle of the sky-sea lines in the video frames, so as to achieve the accuracy of the detection area, improve the detection accuracy and reduce the interference of wave clutter. And it is proved by experiments that robust detection results have been achieved.
机译:海洋态势感知是智能舰船的核心技术,目标检测是态势感知的重要基础。本文提出了一种基于微机电系统惯性传感器的鲁棒目标检测算法,用于舰载视频系统的天海线检测,关键思想是利用舰载摄像机的惯性数据估计天海线的位置和角度。在视频帧中,以达到检测区域的精度,提高检测精度,减少杂波干扰。实验证明,该方法取得了较好的检测效果。

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