A new detection method for moving dim small targets in infrared image sequences is presented.
提出了一种红外图像序列中运动弱小目标检测的新方法。
An algorithm of small moving target detection in infrared image sequences is presented based on image flow analysis method.
提出一种利用图像流分析法对红外序列图像中的运动小目标进行检测的算法。
A fusion detection method that detects moving targets in infrared image sequences under clouds and sky background is proposed.
针对云天背景下的红外运动弱小目标，提出了一种融合检测的方法。
In this paper, the long-range target detection based on data fusion in visual and thermal infrared image sequences is proposed.
针对可见光和红外热图像序列中的远距离目标，提出了一种基于信息融合的目标检测方法。
And the technique of small target detection is put forward based on temporal predictions of the background in infrared image sequences.
从背景出发，充分利用在图像序列中占绝大部分的背景像素来构造弱小目标的检测，并提出在时域上利用背景预测技术实现检测。
An efficient approach for segmenting and detecting small moving target in infrared image sequences against complex cloud layer background is given.
提出了一种对复杂云层背景下红外图像序列中弱小运动目标分割和检测的方法。
The detection of small moving targets in infrared image sequences is one of the critical technologies of infrared Search and Tracking System (IRST).
红外序列图像运动小目标检测技术，是红外搜索与跟踪系统的一项核心技术，也是现代研究领域的一大难题。
Aimming at long distance targets detection problem in visual and thermal infrared image sequences, a confidence fusion detection method based on fuzzy integral.
针对可见光和红外热图像序列中的远距离目标检测问题，提出了一种基于模糊积分的可信度融合的目标检测方法。
Experimental results show that the proposed moving objects detection and tracking algorithm works well in not only infrared image sequences but also visual ones.
实验结果证明了本文采用的运动目标检测与跟踪算法的有效性，此外该算法具有良好的通用性，用于可见光图像序列也能收到好的效果。
In order to solve the problem of detecting moving small targets in low-contrast infrared image sequences, a new detection method based on multilevel filter is proposed.
为了解决低对比度红外序列图像中运动小目标的检测问题，提出了一种基于多级滤波的检测方法。
The proposed tracking method is demonstrated through two real infrared image sequences, which include the changes of luminance and size, and the drastic abrupt motions of the target.
通过两个包括亮度和尺寸变化以及目标的严重突变运动的红外序列，验证了提出的跟踪算法的有效性。
A technique of the contrast linear enhancing algorithm of Infrared Image sequences is discussed and studied. An algorithm of image linear enhancing based on the multi-level averages is proposed.
对红外序列图像的对比度线性增强算法进行了研究，提出了一种基于多级均值思想的图像线性增强方法。
Aim at the problem of detecting for long distance targets with visual and thermal infrared image sequences, a method of targets detection based on multisensor decision level fusion was developed.
本文针对可见光和红外热图像序列中远距离目标检测，提出了一种基于决策级融合的目标检测方法。
To improve the Signal-to-noise Ratio(SNR) and detecting probability of small target in infrared image sequences, a novel method of target detection based on spatial-temporal filtering is proposed.
为了提高红外图像序列中弱小目标的信噪比和检测概率，同时考虑检测算法实时性，提出了一种新的基于空时域滤波的小目标检测方法。
To resolve the detection of moving small target in infrared image sequences, a new small target detection method based on order morphology filtering is presented, and the detailed algorithm is given.
针对红外图像中运动弱小目标的检测问题，本文提出了基于顺序形态滤波的小目标检测方法，并给出了具体算法。
Two image sequences including 200 frames of optical images and 100 frames of infrared image are detected and the detection ratio achieves 96% and 94% respectively.
对200帧可见光视频序列和100帧红外图像序列中运动汽车进行检测分割实验，检出率分别达到96%和94%。
Two image sequences including 200 frames of optical images and 100 frames of infrared image are detected and the detection ratio achieves 96% and 94% respectively.
对200帧可见光视频序列和100帧红外图像序列中运动汽车进行检测分割实验，检出率分别达到96%和94%。
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