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基于单目手眼相机和激光测距仪，提出了一种尺寸未知的空间矩形平面的位姿测量算法。该算法不需要知道矩形平面
的G 个顶点的物体坐标，只需要知道它们的图像坐标、激光点的图像坐标和激光测距结果，就能够计算出尺寸未知空间矩形平
面在相机坐标系下的位姿，并且计算出矩形平面的尺寸。通过建立单目手眼相机和激光测距仪的数学模型，对该算法进行了验
证。实验结果表明，该算法是有效的，可以应用于机器人对空间物体的跟踪、定位以及抓取。-Monocular-based hand-eye cameras and
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A simple example showing how to track an object with particle filter. Likelihood is based on Bhattacharya distance of color histogram.
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Object tracking in computer vision refers to the task of
tracking individual moving objects accurately from one
frame to another in an image sequence. Several tracking
methods have been proposed in the recent literature
capable of coping with
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：针对目标跟踪过程中目标尺度伸缩和姿态形状的变化引起的目标丢失，以及使用单个模型跟踪
机动目标不够理想，提出一种基于SIFT特征的自适应滤波目标跟踪算法。仿真结果表明，该算法在
目标机动时，跟踪性能远优于其它特征匹配算法和多模型算法，而且计算量小，能保证跟踪的实时性。-Abstract：Aim at the lose of target due to scale。invarl’ant，position change and deformation，as welI as
dissati
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奉文主要针对经典的Mean Shift跟踪算法均匀剖分整个颜色空间造成许多空的直方图区间以及不能准确表达目标
颜色分布的缺点，提出J，一种改进算法．该改进算法首先对目标的颜色进行聚类分析，根据聚类结果通过矩阵分解和正交变换
自适席地剖分日标的颜色空间从向确定对戍于每一聚类的子空间．在此基础上定义 一种新的颜色模型，该模型统计落入每
一颜色子空间的像素的加权个数并用高斯分布建模每一个子空间的颜色分布，并推导r一种相似性度量米比较目标和候选目
标的颜色模型之间的相似程度．最后基于该颜
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Extended Kalman Filter Tracking Object in 3-D-Assume that we want to track an object moving in 3-D space with constant velocity. Our instruments observe bearing, range and high(cylindrical coordinates). However, of an interest are rectangular coordin
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complex类加法，减法，乘法，除法运算，重载输出函数，运用友元函数，掌握类的声明和对象的定义；
观察构造函数和析构函数的执行过程；
学习使用Visual C++6.0的Debug调试功能，跟踪观察类的构造函数、析构函数、成员函数的执行顺序。-Complex kind of addition, subtraction, multiplication, and division, operation, an overloaded output function use friend
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“Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码，效果非常好。-In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-te
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Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1]
Applications include object recognition, robotic mapping and na
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多目标跟踪的 MHT 算法的一种实现。可以在 Linux 版的 MATLAB 中运行。代码仅供参考。相关论文：
1. Multiple object video tracking using GRASP-MHT
2. An Efficient MHT Implementation Using GRASP-An implementation of MHT for multi-target tracking. For research purpose only. Related pap
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Read virtually any media file in Windows, Linux, or Mac.
The model simulates streamflow precipitation and temperature data.
Tracking an object in a video with a Color Particle Filter
Use MATLAB to acquire sensor data built-in sensors on your An
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在基于前景检测的基于移动物体检测和车辆跟踪算法的实现中，针对广泛的应用来实现读取AVI文件，并将其分解为R，G和B组件。 执行各种操作并检测移动物体。 各个阶段的阈值决定了识别某些尺寸的移动物体的可能性。 移动物体也在其中跟踪。 MATLAB用于实现算法。 该算法用包含120帧的输入avi格式视频文件进行测试。 研究并实现了这些算法的各种应用。(In this foreground detection based moving object detection and vehicle track
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《TRACKING LEARNING DETECTION》视觉追踪理论，Zdenek Kalal著(Visual tracking is the process of locating an object in a video sequence.)
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The aim of visual servoing is tracking an object by the feedback information of the vision sensor. There are different techniques for controlling the system, in this work, Image based visual servoing has been chosen. The goal of propsed system is tra
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代码适用于追踪物体，可以很有效的图中进行精确的实时追踪(This code impelemts a method for tracking an object in a sequence of images given its location in the first frame. In this approach, a combination of generative and discriminative methods is used to model the object appear
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