搜索资源列表
PID
- PID算法控制,算法有滤波和去除噪音的效果,算法提取更多偏差,更为准确-PID control algorithm, the algorithm has the effect of filtering and noise removal algorithm to extract more bias, more accurate
0999
- 卡尔曼滤波是一种数据处理方法,它是一种线性最小方差无偏估计准则,基于系统 状态估计和当前观测,通过引入状态空间而获得的新的状态估计.本篇论文陈述了卡尔曼滤 波的基本思路和算法;并通过仿真,显示卡尔曼滤波的功能,以及如何用它来跟踪方向确定、速度恒定的飞行器。-Kalman filter is a data processing method, which is a linear minimum variance unbiased estimation criteria, based on
particle-filtering-tracking
- 基于粒子滤波和自适应模型的目标跟踪算法,可以有效提高粒子滤波的准确性和稳定性.-Adaptive model based on particle filtering and target tracking algorithm can effectively improve the accuracy and stability of the particle filter.
image-matching--
- 首先对图像 进行高斯和 Wallis 滤波处理,然后采用简化 SIFT 算法进行特征点提取,最后通过特征点双向 匹配方法实现图像的精确匹配。通过对缺陷版图图像的试验验证了该方法具有匹配点数量 多、准确率高、无重复点等优点。-First of all Gaussian image filtering and Wallis and simplified SIFT feature point extraction algorithm, and finally through the fea
Visual-saliency--tracking
- 针对突变运动下的目标跟踪问题,提出一种基于视觉显著性的粒子滤波跟踪算法. 该算 法将基于视觉注意机制的视觉显著图引入粒子滤波框架中,根据视觉显著图的显著性区域,按 胜者为王和返回抑制机制进行目标检测-Aimingat solvingthetrackingproblemsunder thecircumstancesof abrupt motion,aparticlefilter trackerisproposedbasedonvisual saliencymodel. Thistracke
-dynamic-positioning-
- GPS动态定位中卡尔曼滤波模型的建立及其强跟踪算法研究-Establishment of dynamic positioning GPS Kalman filter model and its strong tracking algorithm
ARMA-model
- 基于辨识ARMA模型的野值剔除方法与卡尔曼滤波修正算法-ARMA model identification methods and eliminate outlier correction algorithm based on Kalman filter
tuxiang-lv-bo
- 主要讨论获得图片后如何提取其边界信息,首先利用图像灰度均匀化解决了对比度不清晰的问题,然后利用高斯滤波法对图片进行滤波去噪,进而利用Canny算法实现边缘检测提取边界,该方法与Matlab自带的求边界方法有明显的提高,为利用Matlab程序求图像分形维数提供了更精确的前提. 更多还原 -Mainly discuss how to get the picture after extracting its boundary information, the first use of the im
Multi-target
- 多目标跟踪的改进Camshift/卡尔曼滤波组合算法-Multi-target tracking improvements Camshift/Kalman filter algorithm combinations
IMM_UKF
- 在主/被动雷达双传感器目标跟踪背景下, 提出一种基于IMM- UKF 滤波的加权数据融合算法。-A data fusion algorithm using IMM-UKF is presented based on active/ passive radar target tracking. The algorithm is established in terms of IMM( interact ing mult iple model) and UKF( unscented Kalman f
mimo
- MIMO中的预编码方案,其中包括了匹配滤波、迫零、MMSE、最佳信漏噪比、块对角化等主流算法。- MIMO pre-coding scheme, which includes a matched filter, zero-forcing, MMSE, the best letter leak noise ratio, block diagonalization other mainstream algorithms
paper5
- 基于几何主动轮廓模型的粒子滤波跟踪算法.PDF-The particle filter tracking algorithm based on geometric active contour model
Watershed-Based-Segmentation-
- 图像分割是一种重要的图像分析技术,对图像分割的研究一直是图像技术研究中的热点和焦点。分水岭算法是基于数学形态学理论的图像分割算法,但是对噪声敏感且存在过分割的现象。为提高图像分割效果,本文通过对影像进行滤波处理,用改进的快速区域合并算法优化分水岭算法进行影像分割。实验结果与MeanShift算法得到的结果对比,证明此算法可以获得较好的分割效果。-In recent years, the watershed line has emerged as the primary tool of mathe
cloud-classification
- 图像分割是一种重要的图像分析技术,对图像分割的研究一直是图像技术研究中的热点和焦点。分水岭算法是基于数学形态学理论的图像分割算法,但是对噪声敏感且存在过分割的现象。为提高图像分割效果,本文通过对影像进行滤波处理,用改进的快速区域合并算法优化分水岭算法进行影像分割。-In this work a technique for cloud detection and classification from MSG–SEVIRI (Meteosat Second Generation–Spinning
MEKF
- 该论文提出了一种改进的扩展卡尔曼滤波方法,实现对红外,雷达传感器的信息融合跟踪算法。性能优于传统EKF-This paper presents an improved extended Kalman filter method, to achieve the infrared, radar sensor information fusion tracking algorithm. Better performance than traditional EKF
kalman_CPP
- 利用C++实现矩阵运算和卡尔曼滤波目标跟踪算法-The use of C++ implementation matrix and Kalman filter tracking algorithm
Kalman-filter
- 卡尔曼滤波程序算法,用来过滤四轴飞行器的部分数据-Kalman filter algorithm program part of the data used to filter axis aircraft
kalman11
- kalman滤波有关说明和相关算法。有推导公式、原理说明、扩展卡尔曼等等。-kalman kalman kalman kalman kalman kalman kalman kalman
DOCUMENTS
- 车辆检测和跟踪的两篇论文,基于感兴趣区域AdaBoost分类器的视频车辆检测研究,以及卡尔曼粒子滤波的视频车辆跟踪算法研究-Video vehicle detection tracking
EKFUKF
- 详细介绍了ekf与ukf的不同及算法,对于初学者对kalma滤波很有帮助。-Details the different and algorithm of EKF and UKF, very helpful for beginners on the Kalma filter.