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OnTrackingofMovingObjects
- 学位论文；运动物体跟踪方法主要包括卡尔曼滤波，Mean-shift，Camshifi算法，粒子滤波器，Snake模型等；应用卡尔曼滤波方法设计了一套煤矿矿工出入自动监测系统；提出了一种新的基于高斯混合模型的颜色特征提取方法，该方法克服了现有的Camshift算法Continuousl y Adaptive eanshift中跟踪目标特征提取精确度低和计算复杂度高的缺陷-Dissertation moving object tracking methods include Kalman filt
leidajidongmubiaogengzhong
- 雷达机动目标跟踪滤波算法的研究 希望对大家有用-Radar Maneuvering Target Tracking Filter Algorithm everyone wishes to be useful
KernelBasedObjectTracking
- A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
Kalman
- Kalman Filter. Includes demo for 2D tracking.
KalmanFilterBasedVisualTracking
- A paper on A Kalman Filter Based Visual Tracking Algorithm for an Object Moving in 3D
Kalman2D
- Simulate GPS tracking Object 2D and smooth its obits by Kalman filter.
Particle_filter
- 基于粒子滤波器的机动目标跟踪技术 首先 ， 概 要介绍传统的Kalman滤波器，以及有所改进的扩展Kalman滤波器。 其次，为了能更好地解决在动态模型为非线性且噪声为非高斯的条件下对机动目标的 跟踪问题，通过概率统计理论详细阐述粒子滤波器基本原理。然后，针对不同的使用 条件，根据粒子滤波器的基本理论做出适当的修改和整理，就得到了四个相关的粒子 滤波器的变型，使用州以JLAB把它们对机动目标的跟踪性能作了详细地计算机模拟 仿真且用均方根误差更加精确地进行了比较。最后，把粒
Multiple-Pedestrian-Tracking-using-Colour-and-Mot
- This paper presents a method that combines colour and motion information to track pedestrians in video sequences captured by a fixed camera. Pedestrians are firstly detected using the human detector proposed by Dalal and Triggs which involves com
video-object-tracking-extraction
- 一种基于Kalman滤波的视频对象跟踪方法 一种视频对象提取与跟踪的新方法-A Kalman filter-based video object tracking method for a video object extraction and tracking method
tracking
- 关于Kalman滤波的跟踪 相关文章 单目标和多目标-Single objective and multi-goal of the Kalman filter to track articles
kalman-yuanli
- 卡尔曼滤波原理程序手册，卡尔曼主要用于预测，轨迹跟踪-The Kalman filtering principle Procedures Manual, Kalman mainly used to predict the trajectory tracking
Moving-Object-Detection-and-Tracking
- extracting background Bit-layer-A method of achieving background is presented which detect the moving object with statistics from complex scene. Compared with other methods of achieving image background, this approach can achieve and update s
Multiple-Target-Tracking-Using-Kalman-Filter
- tracking multiple objects using kalman filter
Moving-Object-Detection-and-Tracking
- 研究了目前运动对象检测与跟踪的一些常用方法,包括时域差分法、背景差分法、基于光流场的检测方法和卡尔曼滤波、特征光流法的跟踪方法,并对各种方法进行了比较,指出其优缺点及适用范围,并给出了时域差分及背景差分方法的实验结果-Currently some of the commonly used methods to study the detection and tracking of moving objects, including difference time domain method, b
A-simple-and-robust-Speed-Tracking-Control-of-PMS
- This paper presents a simple and robust speed control scheme of Permanent Magnet Synchronous Motor (PMSM). It is to achieve accurate control performance in the presence of load torque and plant parameter variation. A Kalman filter is used to estim
kalman-filter
- 假设一物体围绕一圆周运动，角加速度是白噪声，观测噪声也是零均值的白噪声。编程使用卡尔曼滤波器实现运动物体的跟踪。-Suppose an object around a circular motion, the angular acceleration is white noise, measurement noise is zero mean white noise. Programming using a Kalman filter to achieve tracking moving obj
kalman-filtre
- kalman filter documents for tracking
kalman
- 一篇参考了大量外文文献的基础上写的人体运动跟踪的综述，供大家参考。-An reference to a large base of foreign literature written a review of human motion tracking, for your reference.
Target-tracking
- 机动目标跟踪中常用的一种跟踪模型—当前统计模型。另外附上一些儿文档及卡尔曼滤波的代码-Maneuvering target tracking commonly used as a tracking model- current statistical model. Some children attach additional documents and Kalman filter code
kalman-track
- 文中提出了一种基于kalman 预测和自适应模板的目标相关跟踪算法。通过kalman 预测下一帧图像中目标的 状态，缩小整个图像上目标检测的搜索范围，满足目标跟踪的实时性。采取自适应模板更新策略，根据目标的变化情 况自动调节参考模板，提高目标跟踪的稳定性。仿真实验结果表明，算法能够随着目标的形状、大小、位置的变化快速 调整参考模板，进行稳定和实时的跟踪，当目标被物体遮挡时仍能有效地跟踪目标。-A correlation-based tracking algorithm based o