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Description: Webcam Face Tracking,real-time images from a webcam and converts them to grayscale images. Then, it extracts pre-defined feature vectors from the images and sends them to Support Vector Machine (SVM) to get the classification. Using the result, our program will be able to control the mouse cursor in real-time. -Labs WebCam Face Tracking, real-time images from a webcam and converts the m to grayscale images. Then, it extracts pre-defined feature vectors from t he images and sends them to Support Vector Machi ne (SVM) to get the classification. Using the re sult. our program will be able to control the mouse cur prosecutors in real-time.
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Size: 301008 |
Author: po |
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Description: Webcam Face Tracking,real-time images from a webcam and converts them to grayscale images. Then, it extracts pre-defined feature vectors from the images and sends them to Support Vector Machine (SVM) to get the classification. Using the result, our program will be able to control the mouse cursor in real-time. -Labs WebCam Face Tracking, real-time images from a webcam and converts the m to grayscale images. Then, it extracts pre-defined feature vectors from t he images and sends them to Support Vector Machi ne (SVM) to get the classification. Using the re sult. our program will be able to control the mouse cur prosecutors in real-time.
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Size: 1693696 |
Author: po |
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Description: BugTrack is a basic, yet fully functional web based Bug Tracking system that you may use as a framework to create an expanded system or use as is . Great for small teams working on software projects.
Features include:
- Search by Project, Assigned Person, Priority, Status
- Sorting by any of the columns (Bug Name, Project, Priority, Assigned Person, Status)
- Login Authentication
- Administration of Users
- Administration of Priorities
- Administration of Projects
- Administration of Statuse
Good Luck and Thanks trying this system-BugTrack is a basic, yet fully functional web based Bug Tracking system that you may use as a framework to create an expanded system or use as is . Great for small teams working on software projects.
Features include:
- Search by Project, Assigned Person, Priority, Status
- Sorting by any of the columns (Bug Name, Project, Priority, Assigned Person, Status)
- Login Authentication
- Administration of Users
- Administration of Priorities
- Administration of Projects
- Administration of Statuse
Good Luck and Thanks trying this system...
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Size: 72704 |
Author: Johnny |
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Description: 基于SVM和AdaBoost的红外目标跟踪的论文，有需要的朋友可以下载-SVM and AdaBoost-based infrared target tracking of papers, there is a need to look at the friend can be downloaded
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Size: 313344 |
Author: 李一 |
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Description: 所上传文件包包括6种vc++源代码：使用opencv的实现可视图的静态路径规划；简单的svm算法；基于vc2008的图像匹配（多工程结构）；基于局部搜索的K-means聚类算法；三维匹配中的ICP算法；视觉tracking中的condensation算法-Upload file package, including the six kinds of vc++ source code: using opencv to view the realization of the static path planning svm simple algorithm vc2008-based image matching (multi-project structure) local search based on the K-means clustering algorithm three-dimensional matching of the ICP algorithm visual tracking of the condensation algorithm
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Size: 20701184 |
Author: zhezhe |
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Description: eye tracking application
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Size: 110592 |
Author: arpit |
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Description: 为了检测红外图像序列中的运动人体，提出了一种基于最大后验概率
（MAP）-马尔可夫随机场（MRF）模型和亮度-距离联合直方图的人体实时检测
方法。该方法首先建立图像序列时空域联合的概率分布模型，采用基于 MAP-MRF
模型的前景检测方法得到可能为人体的感兴趣区域（ROI）。然后在以 ROI 中心点
为圆心的各个圆环域中统计其亮度信息，构建基于亮度-距离联合空间的分类特
征。最后，采用支持向量机（SVM）分类器对候选区域进行分类检测。不同红外
图像序列的实验结果均表明，本文提出的算法具有较好的鲁棒性和实时性-Research on Human Detection and Tracking
in Infrared Images
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Size: 2013184 |
Author: 闫旭 |
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Description: 计算Haar小波特征，用AdBaoost提取部分有代表性的特征共三种特征选择方法与SVM相结合进行目标跟踪的算法。
-The calculated Haar wavelet features to extract some of the typical characteristics of three feature selection method combined with SVM algorithm for target tracking AdBaoost.
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Size: 12433408 |
Author: QQ |
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Description: opencv最新书籍《Master OpenCV with Practical Computer Vision Projects》。基于opencv2.4.3编写。采用了实例工程方式讲解。-opencv book:
Chapters:
Ch1) Cartoonifier and Skin Changer for Android, by Shervin Emami.
Ch2) Marker-based Augmented Reality on iPhone or iPad, by Khvedchenia Ievgen.
Ch3) Marker-less Augmented Reality, by Khvedchenia Ievgen.
Ch4) Exploring Structure from Motion using OpenCV, by Roy Shilkrot.
Ch5) Number Plate Recognition using SVM and Neural Networks, by David Escrivá.
Ch6) Non-rigid Face Tracking, by Jason Saragih.
Ch7) 3D Head Pose Estimation using AAM and POSIT, by Daniel Lélis Baggio.
Ch8) Face Recognition using Eigenfaces or Fisherfaces, by Shervin Emami.
Ch9) Developing Fluid Wall using the Microsoft Kinect, by Naureen Mahmood.
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Size: 6326272 |
Author: 王邦平 |
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Description: 将基于统计学习理论中的支持向量机(SVM)应用到目标跟踪领域中"该算法不仅能够自动检测和跟踪视场或图像中预先设定好的目标,而且克服了传统目标跟踪系统的缺陷.-Will be based on statistical learning theory, support vector machine (SVM) is applied to the target tracking in "The algorithm can automatically detect and track field of view or image preset goals, and overcome the shortcomings of the traditional target tracking system.
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Size: 12433408 |
Author: chaochao |
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Description: 多轴机器人路径规划仿真中，末端坐标跟踪情况仿真演示。-Multi axis robots path planning simulation, end tracking simulation demonstration.
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Size: 870400 |
Author: 赵宇 |
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Description: 英文版的支持向量机的理论，有详细的理论证明，便于理解图像的目标跟踪问题-Support vector machine English version of the theory, a detailed theoretical proof, easy to understand the image target tracking problem
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Size: 3903488 |
Author: zy |
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Description: 实现了对10个数字音的识别程序UTwzmLl参数包含位置式PID算法、积分分离式PID，在matlab环境中自动识别连通区域的大小,包括最小二乘法、SVM、神经网络、1_k近邻法,RlyqSeS条件是一种双隐层反向传播神经网络，部分实现了追踪测速迭代松弛算法。- Realization of 10 digital audio recognition program UTwzmLl parameter It contains positional PID algorithm, integral separate PID, Automatic identification in the matlab environment the size of the connected area, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, RlyqSeS condition Is a two hidden layer back propagation neural network, Partially achieved tracking speed iterative relaxation algorithm.
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Size: 18432 |
Author: tndgai |
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Description: 包括最小二乘法、SVM、神经网络、1_k近邻法,PkTMEPg参数单径或多径瑞利衰落信道仿真，计算多重分形非趋势波动分析，预报误差法参数辨识-松弛的思想，ZFjFXQa条件车牌识别定位程序的部分功能，部分实现了追踪测速迭代松弛算法。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, PkTMEPg parameter Single path or multipath Rayleigh fading channel simulation, Calculate the multifractal trend fluctuation analysis, Prediction Error Method for Parameter Identification- the idea of relaxation, ZFjFXQa condition Part of the license plate recognition locator feature, Partially achieved tracking speed iterative relaxation algorithm.
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Size: 4096 |
Author: nkdenp |
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Description: 考虑雨衰 阴影 和多径影响，PrCgpvC参数仿真效率很高的，多目标跟踪的粒子滤波器，使用高阶累积量对MPSK信号进行调制识别，ahiFRKy条件包括最小二乘法、SVM、神经网络、1_k近邻法,基于人工神经网络的常用数字信号调制。- Consider shadow rain attenuation and multipath effects PrCgpvC parameter High simulation efficiency, Multi-target tracking particle filter, Using high-order cumulants of MPSK signal modulation recognition, ahiFRKy condition Including the least squares method, the SVM, neural networks, 1 _k neighbor method, The commonly used digital signal modulation based on artificial neural network.
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Size: 7168 |
Author: ycccfw |
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Description: 部分实现了追踪测速迭代松弛算法，虚拟力的无线传感网络覆盖，包括最小二乘法、SVM、神经网络、1_k近邻法,LCMV优化设计阵列处理信号，在MATLAB中求图像纹理特征，基于分段非线性权重值的Pso算法。- Partially achieved tracking speed iterative relaxation algorithm, Virtual power wireless sensor network coverage, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, LCMV optimization design array signal processing, In the MATLAB image texture feature, Based on piecewise nonlinear weight value Pso algorithm.
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Size: 4096 |
Author: hmbjhj |
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Description: 时间序列数据分析中的梅林变换工具，包括数据分析、绘图等等,包括最小二乘法、SVM、神经网络、1_k近邻法,多目标跟踪的粒子滤波器，matlab小波分析程序，微分方程组数值解方法。-Time series data analysis Mellin transform tool, Data analysis, plotting, etc., Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Multi-target tracking particle filter, matlab wavelet analysis program, Numerical solution of differential equations method.
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Size: 11264 |
Author: nfvygj |
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Description: Wireless node tracking in wireless sensor networks using support vector machine
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Size: 1301504 |
Author: hanen |
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Description: 利用图像的HOG特征训练SVM分类器，对运动人体目标进行跟踪(Using the HOG feature of the image to train the SVM classifier, the program runs through the obtained data.)
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Size: 621568 |
Author: 浅笑qq
|
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Description: 该项目包含特征提取，模型判别，运动建模，特征提取包含Haar-like，HOG，判别包含岭回归，SO-SVM，测试数据集为2013Tracking-Benchmake BlasketBall手动标注图像(The project includes feature extraction, model discrimination, motion modeling, feature extraction including Haar-like, HOG, discriminant inclusion ridge regression, SO-SVM, test datasets for 2013 Tracking-Benchmake BlasketBall manual annotation images)
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Size: 57496576 |
Author: 水里一条猫 |
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