Description: 基本粒子滤波器的实现,对非线性非高斯目标可进行有效跟踪!-elementary particle filter to the realization of non-Gaussian nonlinear objectives can be effectively tracking! Platform: |
Size: 1024 |
Author:wyb |
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Description: 本文提出了有模型指导的三维人体运动跟踪框架，将一个多关节的圆台形状三维人体模型与多个视频图像中的外轮廓、边界、灰度和肤色特征进行匹配，使人体运动跟踪变成一个状态估计问题。并且，使用基于概率模型的粒子滤波算法来完成非线性、非高斯动态系统的状态估计。
-In this paper, the model has guided three-dimensional human motion tracking framework, will be more than one of the frustum of a cone shape of the joints of three-dimensional human body model with a number of video images of the outer contour, border, greyscale and color matching features, so that human motion tracking into a state estimation problem. In addition, the use of probabilistic model based particle filtering algorithm to complete the non-linear, non-Gaussian dynamic system state estimation. Platform: |
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Author:阳关 |
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Description: 目标跟踪的两个算法，分别是运动变化和基于高斯权值的颜色空间HSI的meanshift算法-Two target tracking algorithm, namely, Gaussian-based movement and the right to change the value of the HSI color space meanshift algorithm Platform: |
Size: 4096 |
Author:郑锦 |
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Description: 用java编写调用OPECV中的camshift和多高斯模型前景提取程序，在上面可以实现半自动跟踪，非常方便-Java call OPECV used in the preparation of camshift and multi-Gaussian model of the prospects for extraction procedures, can be achieved in the above semi-automatic tracking, a very convenient Platform: |
Size: 143360 |
Author:安迪 |
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Description: GSM TCH/FS 信道编码仿真
仿真通信系统包括内外编码器、交织重排器、加性/突发或混合干扰信道、去交织反重排器、内外译码器，模拟了信息从信源到信宿的全过程；
在高斯噪声、突发干扰或混合信道下测试每个步骤对误码率和系统性能的影响，通过数字及图形的比较，得出通信系统中各个模块的作用。-GSM TCH/FS channel coding simulation Simulation of communication systems, including internal and external encoder, interleaving rearrangement, and additive/sudden or mixed channel interference, de-interlacing anti-rearrangement, and internal and external decoder, analog information from the source to the letter places the entire process in Gaussian noise, sudden disruption or mixed channel to test each step of the bit error rate and system performance, through the figures and graphics comparison, the communication system in the role of each module. Platform: |
Size: 45056 |
Author:123456 |
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Description: 用于机动目标跟踪的白噪声模型算法，本代码中需要调用模型函数，可以自己编写简单的模型函数即可。-For maneuvering target tracking algorithm for white-noise model, the code needs to call the model function, can I have written a simple model can function. Platform: |
Size: 1024 |
Author:郑光海 |
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Description: 高斯混合模型，及背景减计算，Blob连通域，统计流量计数-Gaussian mixture model, and background by calculation, Blob-connected domain, the number of statistical flowmeter Platform: |
Size: 5268480 |
Author:郜建军 |
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Description: 这个个程序是利用卡尔曼滤波实现人体关节点的跟踪问题，运用的是CV模型，噪声为高斯白噪声！有用的拿去看看！-This procedure is to use a Kalman filter to achieve a key point in human tracking problems, the use of the CV model, noise is Gaussian white noise! Take useful to see! Platform: |
Size: 1024 |
Author:岳立川 |
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Description: 粒子滤波程序，仿真实现自由度机器人对目标的跟踪，使用kalman滤波估计总雅可比矩阵J，噪声为非高斯噪声-Particle filter procedure, simulation robot tracking of targets, the use of kalman filter estimated total Jacobian matrix J, the noise of non-Gaussian noise Platform: |
Size: 6144 |
Author:testit123 |
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Description: 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 filtering, Mean-shift, Camshifi algorithm, particle filter, Snake model the application of Kalman filtering method designed a coal miners out of automatic monitoring system a new Gaussian mixture model based on the color feature extraction method to overcome the existing Camshift algorithm Continuousl y Adaptive eanshift track target feature extraction accuracy and low computational complexity and high defects Platform: |
Size: 1343488 |
Author:田卉 |
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Description: 自己写的vc 读取YUV视频信号 进行帧差法进行目标跟踪 ，高斯背景模型提取，-Vc wrote it myself to read YUV video signal frame-difference method for target tracking, Gaussian background model extraction, Platform: |
Size: 3947520 |
Author:kaka |
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Description: "A Tutorial on Particle Filters for Online Nonlinear Non-Gaussian Bayesian Tracking"
This is a paper about tracking by particle filter.
This is very useful. Platform: |
Size: 330752 |
Author:Wolf |
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Description: 利用混合高斯模型进行前景检测的源代码实现，依据的是Stauffer发表的Adapptive background mixture models for real-time tracking.-The prospects for the use of Gaussian mixture model, detection of the source code implementation, based on the Stauffer published Adapptive background mixture models for real-time tracking. Platform: |
Size: 5120 |
Author:connie |
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Description: 粒子滤波现在已经成为目标跟踪领域的主流算法，它的应用范围广泛，在非线性、非高斯噪声下依然表现良好。该代码是Rob Hess 编写的。他的个人主页是：http://web.engr.oregonstate.edu/~hess/
-Now,Partical filter has become the main algorithm in moving target tracking region.It still perform very well in nonlinear non-gaussian noise conditions. So its application is wide.
The code is written by Rob Hess.His homeage is:http://web.engr.oregonstate.edu/~hess/ Platform: |
Size: 20468736 |
Author:郑玉凤 |
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Description: 学习opencv图像处理中人体目标跟踪的一些很有用的资料，主要是讲camshift,meanshift和高斯混合模型。-Learning opencv image-processing for target tracking in the human body a number of very useful information, mainly speaking camshift, meanshift and Gaussian mixture model. Platform: |
Size: 1454080 |
Author:yuyu |
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Search - gaussian tracking