搜索资源列表
cvbgfggaussmix.rar
- 混合高斯模型，用于背景建模的程序，使用时请安装OPENCV,Gaussian mixture model for background modeling procedure, the use of when you install OPENCV
detection.rar
- 用openCV实现，利用背景建模检测运动目标,opencv，detect motion target using background modeling
Opencv-object-detection-
- 针对在背景中检测出运动目标并实施警戒等特定提示，建立了一个人机交互界面。-For in the background to detect moving targets and the implementation of such a specific warning prompted the establishment of an interactive interface.
detection
- OPENCV写的运动目标识别与跟踪程序，很不错哦 -OPENCV writing campaign to target identification and tracking procedures, very good, oh
backgroundSubtraction_v0
- 基于graphcut的背景建模程序，其中具备阴影去除功能，建模时对rgb三个颜色通道进行了高斯模型训练。程序需要OpenCV 1.0 的支持。-This is a C implementation of background subtraction given a set of background frames as a training set.The background model is per-pixel RGB space Gaussian, assuming independenc
VTraffic(thread_no_leak)
- VC6.0+opencv环境下运动检测的实例，使用了帧差法、GMM方法等，可以对比不同建模方法的效果-VC6.0+ opencv environment, motion detection example, using the frame difference method, GMM methods, you can compare the effect of different modeling methods
GetbackGround
- VC+OpenCV图像背景提取 OpenCV Vicual C-VC+ OpenCV image background extraction OpenCV Vicual C
bkgrd
- 利用背景建模检测运动物体（openCV)-Detection using background modeling moving objects (openCV)
Gauss
- 高斯背景建模，利用opencv进行处理，并且提取出前景-Gaussian background modeling, to deal with the use opencv, and the prospect of extracting
Opencv
- 利用Opencv完成静态背景下的运动目标检测-The use of static Opencv the context of the completion of the moving target detection
opencv
- 压缩包包括以下几个功能实现的opencv源代码：canny边缘检测算法实现、高斯背景建模、背景差分法实现边缘检测、图像颜色分布直方图的相关处理、人脸识别算法的实现。-Compressed package includes the following functions to achieve the opencv source code: canny edge detection algorithm, Gaussian background modeling, background subtrac
singalframe
- 车辆视频检测，采用高斯背景更新方法，基于OPENCV的图像视频检测算法-Vehicle video detection, the Gaussian background updating method, based on video image detection algorithm OPENCV
基于背景重构的目标检测
- 本代码主要利用vc6.0，opencv环境编写，mfc界面 利用背景重构原理对目标进行检测，适用于街道上的行人、车辆等目标。这是一个比较简单的代码，适合于对背景重构的学习，离商用还有一段距离。
背景差GMM
- opencv，vs2010 利用混合高斯模型，得到运动前景，与静态背景(Opencv and VS2010 use hybrid Gauss model to obtain motion foreground and static background)
opencv
- opencv基础应用图象边缘检测，霍夫变换，背景检测。(Opencv basic applications: image edge detection, Hof transform, background detection)
复杂背景下的绝缘子识别
- 复杂背景下的图像识别，复杂背景包括森林，田地，天空，迷雾等等。(Complex background image recognition, complex background, including forests, fields, sky, fog, and so on.)
基于opencv的绝缘子及其等电位线故障状态智能识别
- 识别复杂背景下的绝缘子，提取绝缘子，放射投影后对绝缘子进行故障检测。(To identify the insulator in the complex background, the insulator is extracted and the insulator is detected after the projection.)
平均背景法-动静态背景视频前景目标提取
- 平均背景法， 动静态视频前景目标提取， 输出mask， opencv(Average background method, dynamic and static video foreground target extraction, output mask, opencv)
改进的高斯混合背景模型的实现
- 利用改进的高斯混合模型对前景目标的提取有较好的作用，这是基于OpenCV的C++程序，请安装OpenCV库进行调试(The improved Gauss mixture model has a good effect on foreground target extraction. This is a C++ program based on OpenCV. Please install OpenCV library for debugging)
多目标跟踪opencv
- 先用背景差分完成目标提取，将运动目标的相关信息放入到链表中，通过帧差完成对多目标的跟踪，达到实时性的要求 运动目标的相关信息存放于结构体中，可以在此基础上判断目标的动作行为跟踪基本框架，opencv编写，利用背景差分，质心法可以跟踪多个目标，并分配ID号，记录行动轨迹，可用于车辆道路等，大家可以参考学习下，效果有待改进，不同的视频会有不同的效果。(The relevant information of the moving object is stored in the structure.