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设计了一种基于TMS320C6455与FPGA 的实时图像跟踪系统,该系统首先采用MAX9526 采集图像,利用FPGA 对图像进行均值滤波,滤波后数据采用乒乓方式传输给DSP。Mean Shift 跟踪算法采用图像像素灰度距离中心点的距离作
为目标特征建立核函数,实现对目标的实时跟踪。实验表明,该系统具有良好的实时性与稳定性。-Designed a real-time image-based tracking system TMS320C6455 and FPGA, the system
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mean-shift 的tracking 使用的是opencv來實現-QT+OpenCV 3.0 application to test tracking with Mean Shift. The video shows two trackers. Red square is Mean Shift with histograms, and Green square shows Mean Shift with spatiograms.
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Camshift(即 Continuously Adaptive Mean-Shift 算法,是一种运动跟踪算法)算法原理和C++实现代码-Camshift (ie " Continuously Adaptive Mean-Shift" algorithm, a motion tracking algorithm) principles and implementation code C++
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摄像头固定情况下的运动行人跟踪进行研究,Mean Shift算法,与目标区域灰度直方图结合,进行运动目标的检测跟踪-tracking study of the movement of pedestrians in case of a fixed camera introduces a better application of Mean Shift algorithm
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使用NVIDIA CUDA在GPU上对Mean Shift跟踪算法那进行并行加速-Parallel Mean Shift Tracking on GPU using NVIDA CUDA
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这个程序主要阐述如何用均值漂移算法在图像跟踪中的应用,并通过例子将跟踪区域显示在图像中-This program mainly describes how to use the mean-shift algorithm in the image tracking application, and through examples will be tracking the region shown in the image
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均值漂移算法是一种基于颜色特征的无参密度估计算法,被人们广泛的应用于图像滤波、聚类分析和目标跟踪等领域。-Mean shift algorithm is a nonparametric density estimation algorithm based on color feature, which is widely used in the fields of image filtering, clustering analysis and target tracking.
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传统均值漂移跟踪算法在目标特征提取、模板匹配度量和带宽固定方面存在缺陷,提出一种双环
Mean Shift视频跟踪算法-A tracking algorithm based on double—ring Mean Shift is proposed to solve the deficiency of target
representation,template similarity measure and fixed kernel—bandwidth in traditional Me
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均值漂移目标跟踪算法 matlab 版本-mean shift algorithm for target tracking
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meanshift,均值漂移,用于目标跟踪,内含测试视频,可运行。-meanshift, mean shift, for target tracking, embedded test video, you can run.
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meanshift均值平移跟踪算法中核函数窗宽的自动选取代码,根据目标大小变化核窗宽,使得当目标出现大小变化时准确跟踪到目标中心-Meanshift mean shift tracking algorithm kernel bandwidth automatic code is selected, according to the objective changes in the size of the kernel bandwidth, making when target size chan
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matlab语言实现的经典Mean shift 目标跟踪算法-Target tracking algorithm based on classical Mean Shift using matlab
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目标检测算法,经典的mean-shift算法,可实现目标追踪!-Target detection algorithm, the classical mean-shift algorithm, target tracking can be achieved!
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在vs2010上运行的均值漂移目标跟踪算法的源程序,采用c++语言编写,具有良好的运行效果。-Mean shift in vs2010 running target tracking algorithm source code, using c++ language, has good operating results.
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基于mean-shift算法的动目标跟踪,可以识别目标,并记录动目标的跟踪轨迹,并在窗口显示-Based on mean-shift algorithm of moving target tracking, you can identify the target, moving target tracking and recording tracks,and displayed in the window
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mean shift跟踪,椭圆大小及方向随物体运动而变化,始终能框住物体,论文和代码均在压缩包里面,亲测没有问题。-mean shift tracking, oval object the size and direction of the movement with the change, will always be able to frame objects, and code papers were compressed inside, pro-test is no problem.
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综合介绍meanshift算法的使用,使用meanshift算法对图像分割,在后续的运动跟踪埋下基础-This section describes the sum of the mean shift algorithm。Using mean shift algorithm for image segmentation, in a subsequent motion tracking laying foundation
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实现了运动目标的检测和跟踪,使用背景差分法,帧间差分法、光流法和均值漂移的方法,能够实现很好的对运动目标的跟踪-Achieve a moving target detection and tracking, using background subtraction, inter-frame difference, optical flow method and the method of mean-shift, it is possible to achieve a good track mov
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Mean shift tracking Algorithm
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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
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