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首页> 外文期刊>Journal of visual communication & image representation >Robust real-time ship detection and tracking for visual surveillance of cage aquaculture
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Robust real-time ship detection and tracking for visual surveillance of cage aquaculture

机译：强大的实时船舶检测和跟踪功能，用于网箱养殖的视觉监控

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摘要

This paper presents a visual surveillance scheme for cage aquaculture that automatically detects and tracks ships (intruders). For ship detection and tracking, we propose a robust foreground detection and background updating to effectively reduce the influence of sea waves. Furthermore, we propose a fast 4-connected component labeling method to greatly reduce the computational cost associated with the conventional method. Wave ripples are removed from regions with ships. An improved full search algorithm based on adaptive template block matching with a wave ripple removal is presented to quickly, accurately, and reliably track overlapping ships whose scales change. Experimental results demonstrate that the proposed schemes have outstanding performance in ship detection and tracking. The proposed visual surveillance system for cage aquaculture triggers an alarm if intruders are detected. The security of cage aquaculture can be increased. The proposed visual surveillance can thus greatly help the popularization of cage aquaculture for ocean farming.
机译：本文提出了一种网箱养殖的视觉监视方案，该方案可以自动检测和跟踪船舶（入侵者）。对于船舶检测和跟踪，我们提出了可靠的前景检测和背景更新功能，以有效减少海浪的影响。此外，我们提出了一种快速的4连接组件标记方法，以大大降低与传统方法相关的计算成本。波浪纹波从带有船只的区域中消除。提出了一种基于自适应模板块匹配并去除波纹的改进的全搜索算法，可以快速，准确，可靠地跟踪尺度变化的重叠船舶。实验结果表明，所提方案在船舶探测与跟踪中具有优异的性能。如果发现入侵者，建议的网箱养殖视觉监控系统将触发警报。可以提高网箱养殖的安全性。因此，拟议的视觉监视可以极大地促进网箱养殖在海洋养殖中的普及。

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