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首页> 外文会议>International symposium on multispectral image processing and pattern recognition >Complex Background Suppression Using Global-local Registration Strategy for the Detection of Small-Moving Target On Moving Platform
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Complex Background Suppression Using Global-local Registration Strategy for the Detection of Small-Moving Target On Moving Platform

机译：使用全局局部配准策略的复杂背景抑制，用于检测移动平台上的小移动目标

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摘要

Target detection is a very important and basic problem of computer vision and image processing. The most often case we meet in real world is a detection task for a moving-small target on moving platform. The commonly used methods, such as Registration-based suppression, can hardly achieve a desired result. To crack this hard nut, we introduce a Global-local registration based suppression method. Differ from the traditional ones, the proposed Global-local Registration Strategy consider both the global consistency and the local diversity of the background, obtain a better performance than normal background suppression methods. In this paper, we first discussed the features about the small-moving target detection on unstable platform. Then we introduced a new strategy and conducted an experiment to confirm its noisy stability. In the end, we confirmed the background suppression method based on global-local registration strategy has a better perform in moving target detection on moving platform.
机译：目标检测是计算机视觉和图像处理的一个非常重要和基本的问题。我们在现实世界中遇到的最常见情况是在移动平台上检测到一个移动小的目标的任务。诸如基于注册的抑制之类的常用方法几乎无法获得所需的结果。为了破解这个难题，我们引入了基于全局本地注册的抑制方法。与传统方法不同，拟议的全局-局部注册策略既考虑了全局一致性，又考虑了背景的局部多样性，比常规的背景抑制方法具有更好的性能。在本文中，我们首先讨论了在不稳定平台上进行小运动目标检测的特征。然后，我们介绍了一种新策略，并进行了实验以确认其噪声稳定性。最后，我们确认了基于全局局部注册策略的背景抑制方法在移动平台上的移动目标检测中具有较好的表现。

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