搜索资源列表
app_updated
- 差分法提取目标时,为了保持背景的实时性,需要对不背景进行自适应更新,用VC编程-differential extraction of the target, in order to maintain the real-time background, the background is not necessary to conduct adaptive updated programming with VC
MFCVideo(1)
- 先用背景差分法进行运动目标的检测，然后求出运动目标的质心，然后进行聚类。-First with the background subtraction method to detect moving targets, moving targets and then find the center of mass and clustering.
test
- 背景差分，用于提取基于背景存在的物品，可以用于检测同一环境下的场景变化-Background difference, for the extraction of background-based items, can be used to detect the same scene changes in the environment
BackgroundDifferenceMethod
- 背景差分法，可以有效地跟踪运动目标，程序中都有注释，应该很好理解。-Background Difference Method
CameraVideo
- 对图片和视频进行处理，在opencv中对视频进行加噪去噪，以及背景差分法对它进行背景提取。-The image and video processing, opencv in the video noise denoising, and background subtraction method for background extraction.
Backgroud
- 在opencv中对视频用背景差分法对它进行背景提取。-The image and video processing, opencv in the video noise denoising, and background subtraction method for background extraction.
imgtest4
- hog+svm和基于中值建模的背景差分法的行人检测-hog+svm and pedestrians modeled based on the median background subtraction method to detect
0308
- 基于背景差分的运动目标物体识别，可供参考- U57FA u0E8E u80CC u666F u5DEE u5206 u7684 u8FD0 u52A8 u76EE u6807 u7269 u4F53 u8BC6 u522B uFF0C u53EF u4F9B u53C2 u8003 ~~~
CarDetect2
- 基于opencv的车辆检测并计数，采用的算法是背景差分法。计数很准确，效果很好(Opencv based vehicle detection and enumeration, using the algorithm is the background difference method. The count is accurate and the effect is good)
39578053automsft
- 该程序实现了在无目标时使用背景差分法自动检测目标，当目标完全进入图像中后，改用meanshift方法对目标进行跟踪(meanshift TRACKING IN video)
MATLAB优化算法案例分析与应用《进阶篇》
- 贝叶斯分类器 基于背景差分的运动目标检测 基于小波变换的图像压缩 基于BP的模型优化预测 基于RLS算法的数据预测 等等(Bias classifier is based on background difference moving object detection, wavelet based image compression, BP based model optimization prediction, RLS based algorithm for data predicti
代码
- 静态背景 ，显著目标提取，帧间差分法，背景差分法，运动目标提取(Moving object extraction)
avergBg_subtraction
- 采用平均背景法读取视频每一帧，计算出背景后存为之后差分对，仿真matlab版本2014a其他的没有测试，但是视频读取务必选用黑白视频。(Using the average background method to read video each frame, calculate the background, save as after difference, simulation matlab version of 2014a, the other did not test, but vide
Weak signal detection
- 针对强噪声背景中弱信号检测问题，在传统检测方法基础上，提出了基于联合去噪和频率调制的微弱信号检测方法。搭建自相关和小波阈值变换联合去噪系统，极大程度抑制了噪声对检测结果的不利影响。利用频率可调标准信号调制待测信号频率，使得被测信号与检测系统策动力信号的频率差满足检测条件，打破了利用Ｄｕｆｆｉｎｇ 振子检测系统只能检测与系统策动力频率相近信号的限制。(In order to solve the problem of weak signal detection in strong noise bac
目标跟踪project3
- 多目标跟踪，数字图像处理，个多目标跟踪的matlab代码，里面附有说明文档。其中背景差分法可以实现实时更新。该代码在检测与跟踪少量目标时效果很好，但是跟踪目标大于8后，效果下降很多(Multi-target tracking)
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
smoke_test
- 简单实现烟雾检测，在本次所采用的简易方法中，采用的是基于背景差分法(Simple realization of smoke detection)
毕设
- 在静止背景下使用背景差分法和帧间差分法进行移动目标的检测(Moving target detection using background subtraction and inter-frame subtraction in static background)