We propose a novel approach for head tracking, which combines particle filters with Isomap. The particle filter works on the low-dimensional embedding of training images. It indexes into the Isomap with its state variables to find the closest template for each particle. The most weighted particle approximates the location of head. We develop a synthetic video sequence to test our technique. The results we get show that the tracker tracks the head which changes position, poses and lighting conditions.
标签： approach combines particle tracking
上传时间： 2016-01-02
上传用户：yy541071797
In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical particle filtering algorithm. Each particle contains a logical formula that describes a set of states. The algorithm updates the formulae as new observations are received. Since a single particle tracks many states, this filter can be more accurate than a traditional particle filter in high dimensional state spaces, as we demonstrate in experiments.
标签： relational filtering consider problem
上传时间： 2016-01-02
上传用户：海陆空653
We present a particle filter construction for a system that exhibits time-scale separation. The separation of time-scales allows two simplifications that we exploit: i) The use of the averaging principle for the dimensional reduction of the system needed to solve for each particle and ii) the factorization of the transition probability which allows the Rao-Blackwellization of the filtering step. Both simplifications can be implemented using the coarse projective integration framework. The resulting particle filter is faster and has smaller variance than the particle filter based on the original system. The convergence of the new particle filter to the analytical filter for the original system is proved and some numerical results are provided.
标签： construction separation time-scale particle
上传时间： 2016-01-02
上传用户：fhzm5658
Rao-Blackwellised Particle Filters (RBPFs) are a class of Particle Filters (PFs) that exploit conditional dependencies between parts of the state to estimate. By doing so, RBPFs can improve the estimation quality while also reducing the overall computational load in comparison to original PFs. However, the computational complexity is still too high for many real-time applications. In this paper, we propose a modified RBPF that requires a single Kalman Filter (KF) iteration per input sample. Comparative experiments show that while good convergence can still be obtained, computational efficiency is always drastically increased, making this algorithm an option to consider for real-time implementations.
标签： Particle Filters Rao-Blackwellised exploit
上传时间： 2016-01-02
上传用户：refent
本书共有数值计算中常用的Delphi子过程100多个，内容包括解线性代数方程组，插值，数值积分，特殊函数，函数逼近，特征值问题，数据拟合，方程求根和非线性方程组求解，函数的极值和最优化，数据的统计描述，傅里叶变换谱方法，解常微分方程组和解偏微分方程组，每一个过程都包括功能，方法，使用说明，过程和例子五部分。
上传时间： 2016-01-02
上传用户：saharawalker
本文阐述了一种USB－CAN总线转换装置，方便CAN总线与计算机进行链接。本设计方案主要包括：任务说明、总线简介、硬件设计、软件设计、总结等５部分。
上传时间： 2016-01-02
上传用户：xjz632
一个JAVA的源码 是网上下的 没有运行过．．不过的看了下还不错
上传时间： 2016-01-02
上传用户：xmsmh
linuxC库函数参考,大大方便了linux下的函数查找.
上传时间： 2016-01-02
上传用户：aa54
linux下的MTD设备驱动源代码,配合jffs2 yaffss2文件系统.
上传时间： 2016-01-02
上传用户：671145514
JAVA项目开发实践-网上范例：网上购物系统的JSP实现 第一步：将cart.jsp复制到C:\Apache Tomcat 4.0\webapps\ROOT下。 第二步：将cart目录（包含*.class文件及*.java文件）复制到C:\Apache Tomcat 4.0\common\classes目录中。 第三步：将cart.mdb复制到C:\下。 第四步：配制ODBC数据源，在系统DNS中添加cart.mdb，并命名为cart。 然后在浏览器中输入http://localhost:8080/cart.jsp测试，如果看到如图6-2所示的画面，则证明安装成功。
标签： cart webappsROOT Apache Tomcat
上传时间： 2016-01-02
上传用户：hanli8870
