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Linux2.4内核防火墙的连接跟踪技术
- Linux2.4内核防火墙的连接跟踪技术-Linux kernel firewall connectivity tracking technology
KernelTracking
- A new approach toward target representation and localization, the central component in visual tracking of non-rigid objects, is proposed. The feature histogram based target representations are regularized by spatial masking with an isotropic kern
KernelObjectTrack
- Kernel Object Tracking算法实现代码，自己本科毕设！-Kernel Object Tracking algorithm code, we completed the set up their own!
KernelBasedObjectTracking
- A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
generalized
- Generalized Kernel-based Visual Tracking的源代码，对研究目标跟踪的学者很有用-The source code of Generalized Kernel-based Visual Tracking
Windows_mantis
- Windows下搭建mantis Git 是用于 Linux 内核开发的版本控制工具。与常用的版本控制工具 CVS, Subversion 等不同， 它采用了分布式版本库的方式，不必服务器端软件支持，使源代码的发布和交流极其方便。 Git 的速度很快，这对于诸如 Linux kernel 这样的大项目来说自然很重要。 Git 最为出色的是它的合并跟踪（merge tracing）能力。 作为开源自由原教旨主义项目，Git 没有对版本库的浏览和修改做任何的权限限制。 它只适用于 Li
nftest[1]
- 主要介绍基于Linux内核的HyperCuts算法和原理及其实现-This paper documents the results of the performance testing of netfilter, the firewalling subsystem of the Linux kernel. We compared the performance of two different hardware configurations and meas
tms3206713
- 关于DSP TMS3206713的一些资料，包括DSP C6000的反汇编，dsp实时内核在视频目标跟踪系统中的应用，DSP算法标准及其应用-Some information about the DSP TMS3206713, including DSP C6000 disassembly, dsp real-time kernel in the video tracking system, DSP Algorithm Standard and its application
Seg_By_MeanShift
- 均值漂移Mean Shift算法是一种基于核密度估计的处理方法，被广泛用于图像降噪，分割和目标跟踪中，本代码是图像分割实现。-Mean Shift algorithm is a kernel density estimation based approach is widely used for image noise reduction, segmentation and target tracking, the code is to achieve image segmentation.
Kernel_particle_filter_for_visual_tracking
- the Kernel Particle Filter (KPF)—is proposed for visual tracking in image sequences. The KPF invokes kernels to form a continuous estimate of the posterior density function. Particles are allocated based on the gradient information estimated
Bearings-only-target-tracking
- 本文分别就纯方位角跟踪中的机动目标跟踪、有信号传输时延时的跟踪及一类特定的多目标跟踪问题进行了较为系统和深入的研究。首先，针对非机动目标提出一种智能距离参数化无味滤波方法，与传统方法相比，改进了跟踪初始性能、滤波精度以及优化了系统资源。其次，针对机动目标纯方位角跟踪提出一种将交互多模型和核粒子滤波结合的方法，在维持跟踪精度的前提下，大幅减少了所需粒子数，改善了系统实时性。-This paper bearings-only tracking of maneuvering target tracki
Object-nackillg-by
- 该文采用各向异性核函数均值漂移 算法实现目标跟踪，由于该核函数的形状、大小、方向能自适应于目标局部结构的变化，保证了跟踪效果的稳定 性和鲁棒性。实验结果证明该算法是有效的。 关-This p印er implement8 object tr纵血ing with anisotropic kernel mean 8hiR in which the 8hape， 8cale，and orieIltation of the kernels adapt to the cha玎ging obj
04618836
- 有关于meanshift核函数带宽变更不错的跟踪算法-Change a good tracking algorithm About meanshift bandwidth of kernel function
qpc_4.5.02
- QP量子编程最新源码 QP: Quantum Programming QP是一个通用的事件驱动框架，面向MCU，面向并发的层次式状态机模型。 QP包含了1个轻量级的QK（Quantum Kernel）。 QEP：Quantum Event Processor是一个通用的，可移植的，可重用的状态机引擎。 QEP允许你直接把UML样式的状态图映射为代码。 QEP提供了传统的简单平面状态机和层次式状态机。QEP可以直接操作事件队列和事件分发机制。 QF是一个通用的，事件驱动
Kernel-particle-filter
- 基于核粒子滤波的视觉跟踪，采用核密度和粒子滤波结合，进行视觉图像跟踪-Nuclear density and particle filter a nuclear particle filter-based visual tracking, visual image tracking
Efficient-kernel-density-estimation-
- 一篇引用率非常高的英文文献，基于快速高斯的KDE目标跟踪-Efficient kernel density estimation using the fast gauss transform with applications to color modeling and tracking
Kernel-Based_Object_Tracking
- Kernel-Based Object Tracking 学习目标跟踪最经典的外文文献-Kernel-Based Object Tracking Tracking the most classical learning foreign literature
Mean-Shift-kernel
- MeanShift跟踪算法中核函数窗宽的自动选取程序-Mean-Shift tracking algorithm in the kernel function automatically selects the window wide program
meanshift,tracking
- 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 function window width automatic selection code, according to the target size changes in the width of the nuclear window, so that when the
kafbox-1.4
- Kernel自适应滤波器算法是基于Kernels的在线自适应回归算法。非常适合非线性滤波，跟踪和回归。该工具箱包括算法，演示和性能比较工具(Kernel adaptive filtering algorithms are online and adaptive regression algorithms based on kernels. They are suitable for nonlinear filtering, prediction, tracking and nonlinear r