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Description: Linux Kernel Exploit研究和探索,溢出植入型木马（后门）的原型实现,HP-UX溢出程序编写,DDOS攻防与追踪技术,内核后门实现及其检测,浅析反病毒引擎,Linux端口复用技术简述,应用SMB/CIFS协议,SocksCap的简单实现,FreeBSD私有文件系统的制作,智能化安全策略探索--对于网络扫描防御的实现,计算机病毒特征码提取分析-Linux Kernel Exploit study and exploration, overflow into Trojan (back door) Prototype Implementation, HP-UX overflow programming, DDOS defense and tracking technology, and achieve kernel backdoor detection of anti-virus engine, the Linux port Reuse briefly application SMB / CIFS agreement SocksCap the simple realization, FreeBSD private document production system, intelligent security strategy -- defense network scanning the realization Computer Virus Scan Extraction
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Size: 506249 |
Author: hulipeng |
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Description: Linux2.4内核防火墙的连接跟踪技术-Linux kernel firewall connectivity tracking technology
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Size: 23555 |
Author: 刘要强 |
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Description: 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 measured the throughput at plain routing, connection tracking, filtering and NAT. We also examined the dependency of the performance on the number or rules for iptables, nf-hipac and ipset.
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Size: 317235 |
Author: wangtao_32801@126.com |
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Description: Linux2.4内核防火墙的连接跟踪技术-Linux kernel firewall connectivity tracking technology
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Size: 23552 |
Author: 刘要强 |
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Description: Linux Kernel Exploit研究和探索,溢出植入型木马（后门）的原型实现,HP-UX溢出程序编写,DDOS攻防与追踪技术,内核后门实现及其检测,浅析反病毒引擎,Linux端口复用技术简述,应用SMB/CIFS协议,SocksCap的简单实现,FreeBSD私有文件系统的制作,智能化安全策略探索--对于网络扫描防御的实现,计算机病毒特征码提取分析-Linux Kernel Exploit study and exploration, overflow into Trojan (back door) Prototype Implementation, HP-UX overflow programming, DDOS defense and tracking technology, and achieve kernel backdoor detection of anti-virus engine, the Linux port Reuse briefly application SMB/CIFS agreement SocksCap the simple realization, FreeBSD private document production system, intelligent security strategy-- defense network scanning the realization Computer Virus Scan Extraction
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Size: 505856 |
Author: hulipeng |
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Description: 介绍关于利用基于核函数的Meanshift跟踪算法的PPT，非常好，有兴趣的学习-Introduction on the use of Kernel-based tracking algorithm Meanshift the PPT, very good, are interested in learning
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Size: 6727680 |
Author: 李江涛 |
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Description: 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-Mean shift tracking algorithm in the kernel function automatically selects the window wide code, depending on the target size of changes in the nuclear window width, making small changes occur when the target accurately track to the target when the center
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Size: 9216 |
Author: 李健 |
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Description: 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 kernel. The masking induces spatially-smooth similarity functions
suitable for gradient-based optimization, hence, the target localization problem can be formulated using
the basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyya
coefficient as similarity measure, and use the mean shift procedure to perform the optimization. In the
presented tracking examples the new method successfully coped with camera motion, partial occlusions,
clutter, and target scale variations. Integration with motion filters and data association techniques is also
discussed. We describe only few of the potential applications: exploitation of background information,
Kalman tracking using motion models, and face tracking.-A new approach toward target representation and localization, the central component in visual trackingof non-rigid objects, is proposed. The feature histogram based target representations are regularizedby spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity functionssuitable for gradient-based optimization, hence, the target localization problem can be formulated usingthe basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyyacoefficient as similarity measure, and use the mean shift procedure to perform the optimization. In thepresented tracking examples the new method successfully coped with camera motion, partial occlusions, clutter, and target scale variations. Integration with motion filters and data association techniques is alsodiscussed. We describe only few of the potential applications: exploitation of background information, Kalman tracking using motion models, and face tracking .
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Size: 2779136 |
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Description: 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!
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Size: 109568 |
Author: |
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Description: 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. The
masking induces spatially-smooth similarity functions suitable for gradient-based optimization, hence, the target localization problem
can be formulated using the basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyya coefficient as
similarity measure, and use the mean shift procedure to perform the optimization. In the presented tracking examples, the new method
successfully coped with camera motion, partial occlusions, clutter, and target scale variations. Integration with motion filters and data
association techniques is also discussed. We describe only a few of the potential applications: exploitation of background information,
Kalman tracking using motion models, and face tracking.
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Size: 2459648 |
Author: Ali |
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Description: 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
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Size: 93184 |
Author: yangxinli |
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Description: 核函数带宽自适应的Meanshift目标跟踪算法-Kernel bandwidth adaptive Meanshift tracking algorithm
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Size: 1134592 |
Author: 王卓 |
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Description: 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 Linux / Unix 平台，没有 Windows 版本，目前也没有这样的开发计划。
-Git is a version for Linux kernel development control tool. With the commonly used version control tools CVS, Subversion and so different, it uses a distributed repository, the way, do not support server-side software, so that the release and exchange of source code is extremely convenient. Git is fast, such as the Linux kernel that for such large projects, are naturally very important. Git is its most outstanding merge tracking (merge tracing) capabilities. Liberal fundamentalists as open source projects, Git repository browser did not modify any of the rights and restrictions. It applies only to Linux/Unix platforms, there is no Windows version, currently there is no such development plans.
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Size: 793600 |
Author: raullf |
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Description: 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 tracking, signal transmission time delay tracking and a special class of multiple target tracking problem systematically and deeply studied. Firstly, the maneuvering target puts forward an intelligent distance parameters of unscented filtering method, compared with the traditional method, improved the initial tracking performance, the filter accuracy and the optimization of system resources. Secondly, the maneuvering target bearings-only tracking presents an interactive multiple model and kernel particle filter binding method, in the maintenance of the tracking precision, greatly reduces the required number of particles, improves the system real time.
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Size: 5805056 |
Author: 于文娟 |
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Description: 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
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Size: 343040 |
Author: liang jun |
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Description: 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
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Size: 100352 |
Author: 元十三限 |
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Description: 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
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Size: 582656 |
Author: 摩天轮 |
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Description: 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
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Size: 1367040 |
Author: tina |
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Description: 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 target size changes, accurate tracking to the target center)
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Size: 11264 |
Author: Momo@
|
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Description: 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 regression in general. This toolbox includes algorithms, demos, and tools to compare their performance.)
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Size: 357376 |
Author: yjch |
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