特征点的提取和跟踪是基于图像的目标跟踪技术研究中的一项重要内容，对目标识别、机动检测等有着重要意义。
Feature point extraction and tracking method is an important contents to studying imaging-based target tracking, and avails to the research on target identification, maneuver detection and so on.
但是这种基于图像灰度均值分割的形心跟踪算法对于小目标图像都会跟踪失败。
However, the centroid tracking algorithm based on the image gray-mean segmentation fails when tracking small target images.
为基于图像目标自动识别与跟踪技术的精确打击武器系统提供了重要的理论基础与技术支撑。
Important theory and technical support are provided for the precisely guided weapons based on automatic object detection and tracking in image.
为了消除图像旋转对准确进行目标的自动识别和跟踪带来的影响，提出了一种基于FPGA的电子学消旋方法。
In order to eliminate the influence of image rotation on automatically recognizing and tracking targets, a method for canceling image rotation with electronics is proposed based on FPGA.
提出了一种基于图像的视觉伺服机器人系统的结构，以及该系统跟踪平面运动目标的算法。
This paper introduces the architecture of an image-based visual servo robot system and the algorithm implemented to track a target with planar motion.
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.
在采用一个鲁棒性匹配误差映射函数的基础上，使用一种类牛顿法的迭代优化方法实现了基于仿射模型的图像目标跟踪算法。
With the use of a robust error mapping function, an affine model-based target tracking algorithm is formulated, in which a quasi-Newton's iterative method is implemented in the optimization progress.
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.
首先经过背景去除，把感兴趣的人体目标从图像中提取出来，然后采用基于模型的和非基于模型的两种方法对人体的局部和全身运动进行了跟踪。
Firstly, the human region is extracted from the image by the background subtraction, then model-based and none model-based method are applied to track human motion from body parts to whole body.
为了实现复杂背景下的目标空间定位和尺度定位，提出了一种基于非参数聚类和多尺度图像的目标跟踪算法。
In order to track a target in space and scale in a complex background, a target tracking algorithm based on the nonparametric clustering and multi-scale images is presented.
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.
研制了一种基于双DSP（TMS320C6414）的大视场红外目标实时检测与跟踪图像处理系统。
A real- time image processing system which is based on two pieces of DSP (TMS320C6414) is designed.
为了提高红外跟踪系统的图像识别精度，本文针对红外探测器生成的空中目标图像，提出用基于小波变换的遗传算法对红外热图像进行处理。
In order to improve the image discernment precision of infrared tracking system, the genetic algorithms based on wavelet transform is used in the processing of aerial target thermal image.
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.
基于参数化技术的目标跟踪方法包括两方面：基于目标运动参数的跟踪方法和基于目标图像信息的跟踪方法。
Target tracking based on parameterized technique covers two aspects, that is, tracking methods based on motion parameter or based on image information.
其中，数字信号处理技术与数字图像处理技术是实现基于多目标识别的自动乘客计数技术的前提与基础，多目标检测与跟踪计数算法是技术实现与应用的核心。
Technologies of digital signal processing and digital image processing are the basis of APC, and multi-objects detecting and tracking algorithm is the essential factor to implement it.
动态图像的分析和理解是当前研究的热点之一，基于视觉的目标跟踪技术有着广泛的实用价值。
Analyzing and understanding dynamic images have been focused in many research fields. Object Tracking is one of its applications, which has great practical value.
基于模板匹配的图像跟踪算法有三个关键环节，分别为图像特征表示、相似度计算和目标搜索算法。
There are mainly three key elements in model matching based image tracking method, which are representation of image features, similarity measure and target search method respectively.
在基于视觉伺服的机器人控制中，准确跟踪动态目标的关键在于快速准确地完成连续图像中的目标辨识。
The key to track the moving object exactly is how to recognize the target of the sequential digital image quickly and accurately in the robot control system by visual servo.
基于图像的目标自动识别与跟踪技术是世界各国精确打击武器系统急需解决的重要难题，也是计算机视觉领域的研究热点。
Automatic object detection and tracking in image is the key technology of the precisely guided weapons, which need to be solved urgently in the world. It is also an active field in computer vision.
研究了基于奇异值分解的图像匹配和目标跟踪问题。
The problem of image matching and target tracking based on singular value decomposition (SVD) was discussed.
本文的研究分为两个部分：一是基于灰度的图像匹配算法研究，二是运动目标的跟踪算法及仿真研究。
The research of this paper is divided into two parts. One is intersity-based matching algorithms, and the other is tracking algorithm and simulation of moving objects.
本文的研究分为两个部分：一是基于灰度的图像匹配算法研究，二是运动目标的跟踪算法及仿真研究。
The research of this paper is divided into two parts. One is intersity-based matching algorithms, and the other is tracking algorithm and simulation of moving objects.
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