搜索资源列表
TomoEye
- 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 p
bugtrack_aspt
- 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, Assi
paper7
- 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
20090501SleepingKoala
- 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
svm
- eye tracking application
human-detect-and-track-
- 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
Based-onSVM-target-tracking
- 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.
target-tracking-based-on-SVM
- 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
svm
- 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.
SVM(english)
- 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
iiewnshe
- 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
izyihrrn
- 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 Rayl
cndmhkxf
- 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
khdnrquq
- 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 metho
mfstkiig
- 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 meth
ipxgwakq
- 多目标跟踪的粒子滤波器，采用了小波去噪的思想，包括最小二乘法、SVM、神经网络、1_k近邻法,GPS和INS组合导航程序，部分实现了追踪测速迭代松弛算法，采用加权网络中节点强度和权重都是幂率分布的模型。- Multi-target tracking particle filter, Using wavelet denoising thought, Including the least squares method, the SVM, neural networks, 1 _k neighbor
ektzyzfy
- 多目标跟踪的粒子滤波器，包括最小二乘法、SVM、神经网络、1_k近邻法,是一种双隐层反向传播神经网络，MIMO OFDM matlab仿真,最终的权值矩阵就是滤波器的系数。- Multi-target tracking particle filter, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Is a two hidden layer back propagation
svm-target
- Wireless node tracking in wireless sensor networks using support vector machine
96282002Human-Motion-Tracking
- 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.)
Taget_Detcetion_tracking
- 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