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advance_alg.pdf
- 在本讲义中,我们将着重讲述一些数学建模中常用的算法,包括神经网络算法、遗传算法、模拟退火算法和模糊数学方法。用这些算法可以较容易地解决一些很复杂的,常规算法很难解决的问题。由于这些算法都有着很深的理论背景,因此,本讲义中不可能也没有必要详细地讨论这些算法的理论,我们的目标在于应用,大家只需大概了解这些算法的原理,知道能用这些算法解决一类什么样的问题,并能应用这些算法解决数学建模中的一些问题即可。
ResearchandRealizatiooftheLargeLandscapeModelingBa
- 基于Creator 大地景建模的研究与实现以飞行模拟仿真为应用背景,研究基于Creator 软件平台的大地景建模关键技术-research the key technology of large landscape modeling basing on Creato
aver
- 用平均值法对图片序列经行背景建模,并保存。-Method of image sequences with the average background modeling by the line and save. (Attached picture)
tackmcuop
- 一个用cmu开发的车辆检测和跟踪的程序,本程序实现了背景建模,运动检测,跟踪,以及车辆和行人标注的功能。-Cmu development of a vehicle with detection and tracking procedures, the procedures to achieve the background modeling, motion detection, tracking, and vehicle and pedestrian marking function.
word-beijing
- 背景建模 前景提取 前景识别 matlab程序-Background modeling prospect identification matlab program to extract foreground
gaussmoo
- 高斯背景建模源代码,实现背景建模,但前景处理效果不好-Gaussian background modeling source code to achieve the background modeling, but the outlook is not good treatment effect
MovingDetect
- matlab的运动目标分割 车辆检测 平均建模背景差分-Moving object segmentation matlab Vehicle Detection average difference modeling background
MixtureOFGaussians
- 实现混合高斯背景建模,对给定图像序列进行背景建模.内置的参数可以自行修改,以适用不同的应用需求。-mixture of gaussian,it will help you to construct the background model of series frames
mixture_of_gaussians
- 基于混合高斯背景建模的背景差分视频目标检测方法。matlab代码-Video target detection method based on Gaussian mixture background modeling background difference. matlab code
particle-tracking
- 该代码是基于背景建模的粒子滤波算法程序,代码可以运行,且效果很好。-The code is the procedure of particle filter algorithm based on background modeling, the code can be run, and the effect is very good.
mixture_of_gaussians
- 这段代码是在matlab上运行的,能实现对视频的图像处理,即高斯混合背景建模方法。-This code is run in matlab that can realize the video image processing, namely Gaussian mixture background modeling method.
abc
- 基于混合高斯模型背景建模法来检测运动目标-Gaussian mixture model-based background modeling method to detect moving targets
meanshift
- 实现高斯背景建模,并且提取运动目标。具有良好的适用性-Gaussian background modeling to achieve, and extract the moving target. Good applicability
MOG
- 使用Opencv实现的混合高斯背景建模,能够对图像的前景和背景进行分割。-Gaussian mixture background modeling using Opencv achieved, it is possible to image segmentation of the foreground and background.
W5
- 视频帧序列实现基于GMM(高斯混合模型)的背景建模-Video frame sequence implementation based on GMM (Gauss mixture model) background modeling
447809
- 混合高斯模型,用于背景建模的程序,使用时请安装OPENCV()
JGIB
- 混合高斯模型,用于背景建模的程序,使用时请安装OPENCV()
da
- 基于码本(codebook)的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法,它用于把弱分类器联合成强分类器;SVM本身就是(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haa
fa(4)
- 基于码本(codebook)的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程)(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast
ga (6)
- 基于码本(codebook)的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based