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Optical flow field detecting moving targets in infrared images

机译:光流场检测红外图像中的移动目标

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摘要

The technology of optical flow estimation is an important researching content in image processing. With the night vision system maturing and perfecting, moving target detection of the infrared image becomes the focus of people study. This paper introduces the present researching and application of optical flow field, and puts forward an improved Horn-Schunck optical flow estimation method used to detect moving targets in infrared images. In this paper, the motion of simulated image and infrared image are used and the verification of these two images are made. The experimental results indicate that this method can make an accurate judgment for moving targets in infrared images, has a good robustness.
机译:光流估计技术是图像处理中的重要研究内容。随着夜视系统的日趋完善,红外图像的移动目标检测成为人们研究的重点。本文介绍了光流场的研究和应用现状,提出了一种改进的Horn-Schunck光流估计方法,用于检测红外图像中的运动目标。本文利用模拟图像和红外图像的运动,对这两个图像进行验证。实验结果表明,该方法可以准确判断红外图像中的运动目标,具有很好的鲁棒性。

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