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: 1795 |
Author:wyb |
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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: |
Size: 6459392 |
Author:阳关 |
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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: "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: 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: 一篇关于代价参考粒子滤波算法的论文，该算法的优点是不需要任何先验概率知识的假定和重采样过程，可实现并行处理。本文将代价参考粒子滤波与当前统计模型的优点相结合 ,提出一种新的当前统计模型自适应跟踪算法 ,用于非线性非高斯系统的机动目标跟踪。-A particle filter on the reference price of the paper, the advantages of the algorithm does not require any prior knowledge of the assumptions and the probability of re-sampling process, enabling parallel processing. This will be the current price of reference particle filter and combine the advantages of statistical models, a new statistical model of the current adaptive tracking algorithm for nonlinear non-Gaussian target tracking systems. Platform: |
Size: 476160 |
Author:刘帆 |
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Description: 粒子滤波技术在非线性、非高斯系统表现出来的优越性，决定了它的应用范围非常广泛。另外，粒子滤波器的多模态处理能力，也是它应用广泛有原因之一。国际上，粒子滤波已被应用于各个领域。在经济学领域，它被应用在经济数据预测；在军事领域已经被应用于雷达跟踪空中飞行物，空对空、空对地的被动式跟踪；在交通管制领域它被应用在对车或人视频监控；它还用于机器人的全局定位。
-Particle filter technology in the non-linear, non-Gaussian system demonstrated the superiority of the decision of its wide range of applications. In addition, the particle filter for multimodal capabilities, also has one of the reasons it is widely used. Internationally, the particle filter has been applied to various fields. In economics, it is applied to forecast economic data in the military field have been applied to radar tracking aerial flying objects, air to air, air-passive tracking in the field of traffic control it was used in the car or the person video monitoring also used the global positioning robot. Platform: |
Size: 346112 |
Author:fanlianxiang |
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Description: 本文对于非线性非高斯问题，提出了一种改进扩展卡尔曼滤波（NIEKF）新方法。该方法将迭代滤波理论引入到扩展卡尔曼滤波器方法中，有效地重复利用新的测量信息，还利用Levenberg-Marquardt 方法调整预测协方差阵以保证算法具有全局收敛性。实验结果表明，所提方法具有更高的估计精度，是一种效率较高、性能较好的跟踪方法。-This non-Gaussian for nonlinear problems, an improved extended Kalman filter (NIEKF) the new method. The method of iterative filtering theory is introduced to the extended Kalman filter method, the effective measurement of repeated use of the new information, also using Levenberg-Marquardt method to adjust the covariance matrix of prediction algorithm to ensure global convergence. Experimental results show that the proposed method has higher estimation accuracy, is a high efficiency, good performance tracking methods. Platform: |
Size: 1527808 |
Author:李辉 |
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Description: 这是用于目标跟踪的粒子滤波代码，
用matlab编写的，很有借鉴性，一维情况下，
非高斯非线性，其中将扩展卡尔曼滤波与粒子滤波进行比较，更好的说明了粒子滤波的优越性-This is a particle filter for target tracking code using matlab, referential nature, one-dimensional case, the non-Gaussian non-linear, which will be extended Kalman filter and particle filter to compare, a better description of the particle the superiority of the filter Platform: |
Size: 30720 |
Author:程文玉 |
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Description: 针对贝叶斯滤波过程中存在的目标跟踪问题，提出几种典型的贝叶斯滤波方法，如EKF, UKF, PF和UPF 等，基于这些方法所构
建的框架，对它们进行性能测试和比较，并在非线性环境下，讨论这些方法的特点，仿真实验结果表明，在非线性非高斯环境下，UPF 方
法的性能是最优的。 -According to the bayesian filtering occurred in the process of target tracking problem, this paper puts forward several kinds of typical bayesian filtering methods, such as EKF, UKF, PF and UPF, etc., based on these methods structure
The building of the framework, of their performance test and comparison, and the nonlinear environment, discussed the characteristics of these methods, the simulation results show that the nonlinear non-gaussian environment, UPF party
The performance of the method is the best.
Platform: |
Size: 1024 |
Author:时晨光 |
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Description: 基于camshift的目标跟踪源代码，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。-
英语
中文(简体)
日语
Based on the target tracking camshift source code, has been able to better address the dynamic model of nonlinear non-Gaussian and the noise conditions maneuvering target.
英语
中文(简体)
日语
Based on the target tracking camshift source code, has been able to better address the dynamic model of nonlinear non-Gaussian and the noise conditions maneuvering target. Platform: |
Size: 4096 |
Author:李正福 |
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Description: 用于目标跟踪的粒子滤波代码，
用matlab编写的，很有借鉴性，一维情况下，非高斯非线性，其中将扩展卡尔曼滤波与粒子滤波进行比较，更好的说明了粒子滤波的优越性-Particle filter for target tracking code, using matlab prepared very useful reference resistance, the one-dimensional case, the non-Gaussian nonlinear, which will be extended Kalman filter and particle filter are compared, a better description of the location of the particle filter sex Platform: |
Size: 12288 |
Author:冰蓝 |
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Search - non gaussian tracking