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Forward-Backward MHI(前后向运动历史图)是一个快速有效的运动目标检测方法，本程序正是实现2006年Zhaozheng Yin and Robert Collins的“Moving Object Localization in Thermal Imagery
by Forward-backward MHI”文献中的方法。此程序可以很方便的对该方法的优缺点作出评判。给运动目标检测器的选择提供了除“帧间差”和“背景相减”外的又一方法。
本程序基于OpenCV。-Forwar
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介绍相关用MATLAB实现节点自定位以及目标定位跟踪的算法，-Introduced to achieve the relevant node self-localization using MATLAB and the target location and tracking algorithm
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多传感器目标交叉定位算法(垂线法),内含两个、三个、四个传感器交叉定位程序。-Multisensor target cross localization algorithm (vertical method), containing two, three, four sensors cross localization process.
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提出了基于无线传感器网络的浮标网络水下GPS定位系统模型，分析了
该模型的结构、功能以及工作过程，并从几何角度探讨了水下目标的声学定位算
法。结合Range-Free算法与分布式算法的思想，设计了一种传感器节点自定位算
法，称为BSR（Beacons Signal Ring）定位算法，并对该算法的性能进行了评估与
比较。该算法在锚节点处的信标信号中引入能量等级的机制，无需相邻传感器节
点间信息交换，有效降低了算法复杂度与通信开销。性能分析结果显示，该算法
性能良好，在应用
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一种目标运动要素快速定位方法，主要用于对目标的定位、跟踪背景下-Target Motion Analysis Algorithms for Rapid Localization Methods
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基于opencv的车牌识别程序，能实现目标跟踪，截图，车牌识别包括了打开图像、图像二值化、车牌定位、字符分割、字符识别等。-Opencv-based license plate recognition program, to achieve the target tracking shots, license plate recognition, including the open image, image binarization, license plate localization, c
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双基地MIMO雷达系统DOA和DOD联合估计的MATLAB仿真程序，系统架构和算法可参考以下两篇原始文献。
Haidong Yan,Jun Li, Guisheng Liao.Multi-Target Identification and Localization Using Bistatic MIMO Radar Systems.(cited by 106)EURASIP Journal on Advances in Signal Processing , vol.2008, Jan. 2
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该系统基于vc++开发环境具有目标跟踪检测测量车牌识别人脸定位火源检测等功能系统，还有一套仿生复眼全景目标跟踪系统-The system is based on vc++ development environment with the target tracking and detection measurement LPR face localization features such as fire detection systems, as well as a panoramic vie
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改进了二维图像中四个基站定位目标节点的算法，为研究动态基站的误差下限CRLB提供参考。内有matlab源文件代码，运行后的fig文件，运行命令和相关说明-Improved two-dimensional image of the target node localization algorithm to four base stations to provide a reference for the study of dynamic CRLB base station. There matla
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针对目前大多数形状特征描述的全局性以及对旋转 缩放等变化的敏感性， 采用一种基于目标近似多边形的形状特征描述， 这种描述方式具有局部性和紧凑性， 同时结合运动参数预测及递归估计的方法实现二维目标的检测和定位-Most shape for the global characterization of and sensitivity to changes in the rotation scaling, using a polygon shape based on characteristics o
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1.先打开一幅图片然后按照顺序灰度化、二值化、灰度拉伸、车牌定位、二值化、倾斜校正、字符分割、训练神经网络、识别字符。
2.测试图像存储在当前目录的img下。
3.测试集、训练集、目标向量均存储在img下的文本文件中。-1. Open a picture first and then according to the order gray, binarization, gray stretching, license plate localization, binarization, t
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Mine tunnels are extensive labyrinths with
irregularly-shaped walls, in which a hundreds of employees are
working on extraction of valuable ores and minerals. Since the
working conditions are extremely hazardous, a (wireless) sensor
network (
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下面的代码是实现HOG（附柱状图导向梯度）
描述符和目标检测，通过那伏乃尔达拉尔和比尔Triggs介绍。
所计算的特征向量是与兼容
INRIA目标检测与定位工具包
（http://pasca
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It is one way for localization target in sensor network.
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Radar localization of target in movement
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Static localization of mobile target using matlab
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This work considers source localization and parameters estimation problem using bistatic MIMO radar. A new method for joint DOD-DOA estimation in multi-target situation with automatic pairing is proposed. We have exploited
both recursive update for
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This work considers source localization and parameters estimation problem using bistatic MIMO radar. A new method for joint DOD-DOA estimation in multi-target situation with automatic pairing is proposed. We have exploited
both recursive update for
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This work considers source localization and parameters estimation problem using bistatic MIMO radar. A new method for joint DOD-DOA estimation in multi-target situation with automatic pairing is proposed. We have exploited
both recursive update for
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基于TOA测量和DOA测量的目标节点定位可以比RSS测量获得更高精度的位置参数(The location of target nodes based on TOA and DOA measurement can obtain higher precision position parameters than RSS measurement)
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