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目标：手工选择视频图像上的待跟踪目标；利用块匹配的方法估计目标区域在下一帧图像中的位置；循环这个过程直到目标从图像帧中消失。
技术：avi视频流的帧读取；图像帧存储格式的了解；RGB图像的灰度化；灰度图象的平滑滤波；块运动估计算法的实现；使用MFC显示图像帧；MFC上鼠标事件的使用。
-objectives : manually select video images on the question target tracking; Use block matching methods
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运动估计的算法源程序,搜索精度为半精度,方法是对整像素搜索到的匹配位置的领域像素进行内查,然后进一步搜索,找到更精确的匹配位置-motion estimation algorithm source, search for semi-precision accuracy, is the whole pixel search to match the location of the pixel within the field investigation, then further search,
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kalman滤波 针对二阶系统的位置速度估计 适合于初学kalman滤波算法的朋友 代码含有详细解释-kalman filter for the position of second-order system is suitable for beginners speed estimation kalman filter algorithm friend code contains detailed explanations
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相当强大的代码，能够从kinect采集的数据中学习出人的头部姿势-Very powerful code, the data collected from the kinect to learn a person' s head position
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详细介绍MCL算法，是由Sebastian Thrun a, Dieter Fox, Wolfram Burgard, Frank Dellaert所著的论文，发表于Artificial Intelligence上。-Mobile robot localization is the problem of determining a robot’s pose from sensor data. This
article presents a family of probabilistic lo
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IEEE_Integrated Position Estimation Using Aerial Image Sequences.pdf
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This a simple position location algorithm using Least Square Estimation algorithm. Timing information is time of flight (TOA) of signal between Tx and Rx. This code generally describes the Positioning method, Also it plots final coordinate of node in
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RS（31，15）译码关键步骤的veilog HDL算法实现，包括关键方程求解，错误位置估计，错误值计算等-RS (31,15) decoding a key step in the algorithm veilog HDL, including key equations, position estimation error, error value, such as
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码估计立场和态度的航天器或飞机属于最安全的关键部分航班software.The基本数学复杂和丰富的设计细节使它容易出错的，可靠的实现是一个程序costly.AutoFilter合成工具自动生成状态估计代码紧凑specifications.It可以自动产生更多的安全证书，正式保证每个单独的程序满足了一套重要的安全policies.These安全政策（例如，数组越界，变量初始化）形成核心财产所必需的高保证software.Here我们描述了自动过滤系统及其证书发生器和比较我们的方法来静态分析工具Po
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这个程序可以计算给定点处的小区信号范围覆盖。-is program computes a map of visibility from a selected point on a topography. It has been written to help the search for radio relay best location. Because it considers only direct line of sight, it gives a good estimation for
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當天線位置估計錯誤時，可將其依據演算法修正回來，並且使用apdaptive beamforming技術，能偵測出jammer在哪兒的源碼。-Antenna position estimation error, the same day can be revised based on algorithms to come back and use apdaptive bemforming technology, able to detect where a jammer source.
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A COMPARISON OF A FLUX OBSERVER WITH A BACK-EMF TECHNIQUE FOR SENSORLESS ROTOR POSITION ESTIMATION
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Paper about a new close loop current model flux observer to estimate the rotor flux, position and velocity of an induction machine. The current observer includes carefully designed sliding mode functions which are derivative of the fluxes along the a
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跟踪问题本质上是一个混合系统的状态估计问题[38】，即利用传感器的离散
观测来估计所感兴趣区域内目标个数和状态的过程，其中目标状态包括运动分量
(位置、速度、加速度)和属性信息(信噪比、谱特征，身份信息等)。目标跟
踪问题根据跟踪环境的不同可以分为单机动目标跟踪和多机动目标跟踪。-Tracking is essentially a hybrid system of the state estimation problem [38】, namely the use of sensors
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头部姿势估计的程序，利用鼻尖确定头部的方向，进而确定姿势，采用随机回归森林算法。-Head pose estimation procedures, the use of nose to determine the direction of the head, and to determine the position, using the random forest regression algorithm.
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Monitoring applications define an important
class of applications used in wireless sensor networks.
In these applications the network perceives
the environment and searches for event
occurrences (phenomena) by sensing different
physical pro
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通过测量非导通相的反电势波形，运用KALMAN滤波器，估计出转子的位置-By measuring the non-conduction phase of the BEMF waveform, using KALMAN filter, the estimated rotor position
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Awareness of the physical location for each node
is required by many wireless sensor network applications. The
discovery of the position can be realized utilizing range measurements
including received signal strength, time of arrival, time
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三卫星定位算法，基于TDOA参数估计卫星干扰源位置，大地坐标系和直角坐标系之间的转换-Three satellite positioning algorithm, parameter estimation of satellite interference sources based on TDOA location, between the geodetic coordinate system and right Angle coordinate system transformation
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文件包含用于位姿估测、旋转矩阵计算的一系列小程序，分别为TRIAD算法、QUEST算法、改进型TRIAD算法、改进型QUEST算法。-The document contains a series of small procedures for the position and attitude estimation, rotation matrix calculation, respectively, TRIAD algorithm, QUEST algorithm, improved TRIA
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