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。
The detection of small moving targets in infrared image sequences is one of the critical technologies of infrared Search and Tracking System (IRST).
本论文主要研究视频序列图像中运动目标识别与跟踪的算法。
The thesis is focused on the study of algorithm for moving target recognition and tracking in video sequence images.
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。
Track before Detect technology for dim small moving targets in low SNR image sequences was surveyed.
提出了一种新颖和鲁棒的红外图像序列中的目标跟踪方法。
A novel and robust approach for target tracking in infrared image sequence is proposed in this paper.
在彩色序列图像目标跟踪中，均值移位算法是一种有效的方法。
In the color image sequence, the mean shift algorithm is an efficient method for tracking object.
首先给出了一种基于2 - D图像序列的运动目标跟踪算法，并对其实现技术进行了讨论。
A trace algorithm based on 2-d image sequence for moving target is presented and the realization technology of this algorithm is also discussed.
给出了一种基于2 -D图像序列的飞行目标跟踪算法，并对其实现技术进行了讨论。
A trace algorithm based on2-D image sequence for flight target is presented and the realization technology of this algorithm is also discussed.
视频监控方法通过分析拍摄的交通图像序列，对交通目标进行检测、识别和跟踪，并对其行为进行分析和判断。
By analyzing the traffic image sequence, video surveillance method carries out the detection, recognition and tracking of traffic targets, so as to identify and judge their behaviors.
视频图像序列中运动目标的检测与跟踪是计算机视觉和图像处理领域广泛研究的热点之一。
Moving targets detection and tracking in video sequences is one of the hotspots that having been widely researched in computer vision and image processing fields.
序列图像运动目标检测技术是目标搜索与跟踪系统的一项核心技术。
The detection of moving targets in image sequences is one of the critical technologies of target search and tracking systems.
本文研究红外探测仪器产生的低信噪比序列图像中目标检测、识别及跟踪算法。
This paper proposes a new algorithm on dim target detecting, recognition and tracking from an image sequence produced by an IR sensor.
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。
Experimental results show that the proposed moving objects detection and tracking algorithm works well in not only infrared image sequences but also visual ones.
实验表明，这种算法在长达数百帧的图像序列中，始终能准确地分割出运动目标，并稳定跟踪目标的运动。
The experiments confirm that this algorithm can segment the moving targets accurately, and track them robustly among the image sequence of hundreds of frames.
实时图像序列空中微小目标的检测和跟踪，采用基于对比度跟踪算法。
The tracking and detection of tiny aerial target in real-time image sequence are based on contrast tracking algorithm.
基于红外序列图像中小目标的典型特征，提出了一种新的红外小目标检测与跟踪算法。
Based on the typical feature of small target in sequence infrared images, a new algorithm is proposed for detecting and tracking small targets in sequence images.
运动目标跟踪的主要过程是：在各帧图像中准确的检测出运动目标，然后在后续的图像序列中进行目标定位，从而得到特定运动目标的完整运动轨迹。
The main task of object tracking is to detect moving object accurate from each image frame, and position those object in the subsequent frames. Then we could get full trajectory of moving object.
本课题的主要研究内容是通过双目立体视觉技术，对双目立体图像对中的运动目标进行检测与提取，并在图像序列中对运动目标进行跟踪。
The thesis mainly researches on detecting and extracting the moving object in stereo image pairs with binocular vision technology, and tracking the object in the image sequence.
在红外动目标序列图像跟踪过程中，由于目标本身的红外特征具有较大的不可预测性，使A TR系统在目标探测阶段产生大量的虚警讯息。
In the course of tracking IR motive targets, a large number of false alarm signals might appear in the target detection stage of an IR ATR system because of the non-prediction of IR targets signature.
针对图像序列中红外弱小目标的检测与跟踪中遇到的难点，即信噪比低、帧间相对位移小等问题，提出一种基于小波提升框架及小波能量的目标检测算法。
To solve the difficulties in dim target detection, such as low SNR and small-scale displacement, a new automatic target detection algorithm based on lifting scheme and wavelet energy is proposed.
在对采集的实时序列图像进行滤波处理后，本文通过改进最大类间方差法，并将其和自适应波门跟踪方法结合起来实现运动目标的跟踪。
After preprocessing the sampled real-time image sequences, moving target tracking is realized by combining improved Ostu algorithm and adaptive window tracing method.
在目标特征提取识别算法的基础上，还提出了阈值预测分割算法，并应用在序列图像的跟踪中，取得了较好效果。
Base on the recognition arithmetic, a segmentation method by forecasting threshold is proposed. Using this segmentation method in image tracking, satisfying effect is gotten.
针对红外图像序列的特点，提出一种动态融合的目标识别与跟踪算法。
Aiming at the characteristics of infrared image sequence, a dynamic integrative algorithm is proposed.
对后续帧，通过与前一帧进行头部模板匹配，完成目标图像序列的头部检测跟踪。
According to matching the head template with the contour image of follow-up frames, it can implement the head detection and tracking with image sequence.
近年来，低信噪比图像序列中弱小目标跟踪问题是国内外学者研究的一个热门课题。
The effective tracking for dim target in low SNR image sequences has become a hot research field in recent years.
通过和现有算法的比较以及在大量真实序列图像上的实验表明，该算法不但能够更准确地描述目标的大小，而且显著提高了跟踪算法的精度。
In the presented tracking examples, the new method can be used to describe the target more accurately and thus achieves much better tracking precision.
通过和现有算法的比较以及在大量真实序列图像上的实验表明，该算法不但能够更准确地描述目标的大小，而且显著提高了跟踪算法的精度。
In the presented tracking examples, the new method can be used to describe the target more accurately and thus achieves much better tracking precision.
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