搜索资源列表
tracker-code
- 使用matlab实现背景和前景分离，运动目标跟踪识别，一个很不错的程序-Using matlab to achieve separation of background and foreground, moving target tracking and recognition
MST-Player-v1.5
- 运动目标识别，采用背景差分方法。背景图像由均值法获得。里面的视频换成前几帧换成纯背景效果能更好一点-Moving target identification, using the background difference method. Background image obtained from the mean. Which replaced the previous video frame replaced by pure background a little better resul
Moving-target-identification
- 运动目标识别，从视频中提取出背景，然后采用背景差除法和开闭运算法，能够很好的识别出运动中物体-Moving target identification, extracted from the video out of context, and then using background subtraction method of division and opening and closing operations, can well identify objects in motion
movetagdetect
- 运用matlab 进行运动目标的识别，追踪的系统设计-Identification using matlab moving target tracking system design
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
gmm(2)
- 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(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast Hough circle trans