The detection problem for small targets in IR image sequences is a hot topic nowadays.
红外图像序列中小目标的检测问题是当前的研究热点。
D wavelet transform compression coding for image seqUences has been reported recently.
最近有文献报道图像序列的三维子波变换压缩编码。
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。
A new method is proposed for the estimation of global motion from compressed image sequences.
面向运动背景，全局运动估计是提取运动目标广泛采用的方法。
At the heart of Smart Eyes is innovative software that automatically analyses the image sequences.
这种电子眼系统的核心是一种新发明的可以自动分析一连串图像的软件。
Track before Detect technology for dim small moving targets in low SNR image sequences was surveyed.
对低信噪比下图像序列运动小目标先跟踪后检测技术进行了较为系统地研究。
Shape from motion is the technology of obtaining the depth information of scene from image sequences.
从运动恢复三维形状是通过序列图像获取物体深度信息的一种技术。
A real-time frame iterative back-projection algorithm for image sequences superresolution is proposed.
提出一种实时帧迭代反向投影算法实现对图像序列的超分辨率处理。
The detection algorithm for the low SNR point target in image sequences and its performance is studied.
序列图像中低信噪比运动点目标的检测算法及其性能分析。
Motion object region is extracted from multi-frame images in image sequences by using similar difference method.
它采用类似差分的方法从图像序列的多帧图像中检测出运动目标区域。
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。
It's task is to detect motion object and reconstruct three-dimensional motion and structure parameters from image sequences.
序列图像分析的基本任务是从图像序列中检测出运动目标并估计其三维运动参数和结构参数。
The scheme can be applied to the temporal filtering in image sequences as well as to the spatial filtering in a single image.
该方法既能用于图像的空域滤波，也能用于序列图像的时域滤波。
A new algorithm of calculating depth information by image sequences acquired from the parallel multi-viewpoints is discussed.
引入了平行多视点的概念，从平行多视点获取的多幅图像中可以求得深度信息。
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。
The technology of point target detection in IR image sequences is a difficult subject of information processing in recent years.
红外图像中点目标检测技术是近年来信息处理研究的热点和难点之一。
The proposed algorithms are applied in synthetic and real image sequences, and the experimental results are prospective and satisfied.
所提出的算法用于实际的图像序列，取得了满意的超分辨率效果。
Moving point targets detection in image sequences always be the emphasis and difficulty in the field of targets detection and identification.
图像序列中运动点目标的检测一直是目标检测与识别领域中的重点和难点。
Irregular rotational motion degrades the image sequences, and the rotational motion estimation is the key of the electronic image stabilization.
不规则的旋转运动会明显降低图像序列的质量，旋转运动估计是实现图像稳定的关键技术。
This paper introduces a method of detection and tracking of vehicles in monocular image sequences of traffic scenes recorded by a stationary camera.
文章介绍一种在固定单摄像头拍摄交通图像序列中检测车辆的方法。
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。
For concerned test image sequences, the proposed algorithm can reduceencoder complexity significantly while coding quality is only slightly decreased.
对测试图像序列进行测试的结果表明，该方案能明显降低编码复杂度，而编码质量只有轻微的下降。
Finally filtrating the true targets according to the principle of moving continuity and trajectory consistency of moving target in the image sequences.
最后利用序列图象中目标运动的连续性和轨迹的一致性来筛选出真正的目标。
This approach of image representation may be suitable also for other image sequences processing including time image sequence obtained from living things.
这种图象表达及信息加工方法对包括生物活体时间序列图象在内的多种序列图象加工可能都是适用的。
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。
Firstly, the histogram is computed from the strong edge blocks in the image sequences. Then, different images are compared by algorithm of multi-resolution steps.
首先在具有明显边缘特征的图像序列中，提取图像强边缘块的直方图，然后，利用时域多分辨算法，比较不同帧之间的图像差异。
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%。
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。
According to the detection of changes in image sequences, an algorithm of multi-resolution steps image partition based on strong edge blocks is proposed in this papers.
针对序列图像的变化检测，提出了一种基于强边缘块的时域多分辨率图像分割算法。
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