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BasedOnMeanShiftAndParticleFilterObjectTracking.ra
- 基于Mean Shift算法和Particle Filter算法的目标跟踪学位论文：讨论了MeanS hift算法(均值偏移)和粒子滤波算法(Particle Filter)，分析了两种算法的特点；，分析了用运动目标检测提取目标运动特征的技术，通过增加对目标特征描述信 息，提高跟踪健壮性，并在以颜色直方图描述颜色特征的基础上，融合了目标的运动特征，设计了一种基于运动特征和颜色特征多特征融合的粒子滤波跟踪方法；用二阶直方图描述颜色特征，设计了均值偏移和粒子滤波相结合的目标跟踪技术-Based
ameanshifttrackerimplementationsinndhume
- 关于运动物体跟踪的论文，ameanshifttrackerimplementations-Moving object tracking on the paper, a-mean-shift-tracker-implementations
RealTimeMeanShiftTrackingusingOpticalFlowDistribut
- 利用mean shift算法实现实时目标跟踪，并使用光流法进行目标检测-Using mean shift algorithm for real-time target tracking, and use the optical flow method for target detection
1
- 实现了基于mean-shift的图像检索，实现了比较两图像的相似度，选择最相近的图片-mean-shift
Online-Learning-for-Tracking
- 本书为卡耐基梅隆大学教授Robert T. Collins在中美学术交流会上专门为中国学生做的关于目标跟踪方面的讲座，内容涵盖了template matching, mean-shift, data association等。同时结合了他们实验室的项目经验，讲解内容深入浅出，全力推荐！-Book for the Carnegie Mellon University Robert T. Collins in the United States specifically for academic e
meanshift-papaer
- 一篇关于meanshift介绍的经典英文文章 非常值得一看-a classical paper about mean shift
Regime_detection3_2
- Sequential Regime Shift Detection Software: The software is designed to automatically detect statistically significant shifts in the mean level and the magnitude of fluctuations in time series. It is written in Visual Basic for Application (VBA) fo
Mean-shift--a-robust-approach-
- meanshift，a robust approach toward feature space analysis原始文章-meanshift
sport-target-detection-track
- 图像梯度方向直方图（HOG)特征基础上云模型运动目标检测算法,提出HOG特征为基础的均值漂移算法 -Moving target detection algorithm of image gradient orientation histogram (HOG) features based on cloud model proposed HOG feature based on mean shift algorithm
mean-shift
- meanshift算法的中文入门资料，介绍的很详细-meanshift s Algorithm Chinese introduction material, introduction is very detailed
meanshift
- mean shift 算法聚类和分割，可以用来处理图像-mean shift algorithm clustering and segmentation, can be used to deal with image
Lizilvbogenzong
- 提出了一种基于粒子滤波的自适应运动目标跟踪方法。均值漂移算法是一种最优梯度下降法，通过 迭代来搜索目标，从而实现对运动目标的跟踪。-Adaptive moving target tracking method based on particle filter. The mean-shift algorithm is an optimal gradient descent method, through an iterative search for the target in order t
meanshift
- 用Mean-Shift算法实现运动目标的跟踪，同时也实现了运动目标的检测-Moving target tracking using Mean-Shift algorithm, but also realize the moving target detection
wave
- 将均值偏移算法嵌入到粒子滤波的跟踪框架中.该算法克服了粒子滤波计算量较大的缺点,同时也克服了均值偏移算法容易陷入局部最大且无法恢复的缺点.实验表明该算法有很好的实时性和鲁棒性.-The mean shift algorithm is embedded into the particle filter tracking framework of the particle filter algorithm overcomes the shortcomings of large amount of c
04683346-(1)
- 这篇文章讲述了一种自适应的均值移动算法，展示了这种方法的优势之处，对研究这方面的学者会有很大的启发-An Adaptive Mean-Shift Analysis Approach for Object Extraction and Classification From Urban Hyperspectral Imagery
123455
- 集成改进Mean Shift 和区域合并两种算法的图像分割,能得到更好的分割效果，且能在一定程度上提高遥感影像分割的自动化。-Improved Mean Shift and regional integration merge two algorithms for image segmentation, segmentation can get better results, and can improve the automation of remote sensing image segme
HW512-meanshift
- it is mean shift, machine vision. and in it, opencv function are used. but it is ok, completely true.
Hw3-2
- it is mean shift and some other kind of this methods. it works correct but i dont know what exactly these methods are, the are not famous.
57694
- mean shift mean shift mean shift mean shift mean shift -mean shift mean shift mean shift mean shift mean shift mean shift mean shift mean shift mean shift
optical-flow-navigation
- 针对小型无人机在无卫星导航信号条件下的导航问题, 结合光流及地标定位设计了使用摄像头、惯性测量器件、超声测距仪等传感器融合的无人机室内导航方法. 文章使用补偿角速率的光流微分法计算帧间像素点小位移, 并用前后误差算法提取精度较高的点, 避免像素点跟踪错误, 提高了光流测速的精度 对得到的光流场用均值漂移算法进行寻优, 得到光流场直方图峰值, 以此计算光流速度. 本文提出了无累积误差的连续地标定位算法, 实时测量无人机位置. 通过多速率卡尔曼滤波器对观测周期不一致的位置、速度信息进行最优估计. 在