搜索资源列表
P_GMM
- 用于背景差分的高斯混合建模，实现运动目标检测，c++源码可编译执行-Difference of Gaussian mixture for the background model for moving object detection, c++ source code can be compiled implementation
GaussBG_test1
- 单高斯目标检测，主要是通过先有K帧图像初始化背景，再通过公式不断更新背景来实现目标检测-Single gaussian target detection, mainly through the first K frames image initialization background, then by formula update background to achieve target detection
gaussbackground
- 视频图像处理，主要对视频用高斯模型进行背景建模，从而将前景和背景分离-Video image processing, mainly for video background modeling using Gaussian model to the foreground and background separation
smy
- 基于高斯的背景建模，自己做的效果不错，可以进行检测-Gaussian background modeling based on their own do well, can be detected
motion3
- 基于混合高斯模型的多目标跟踪算法，对背景图像建立混合高斯模型，实时更新高斯模型，达到更新背景的目的。-Gaussian mixture model-based multi-target tracking algorithm, Gaussian mixture model to establish the background image, real-time updates Gaussian model, to achieve the purpose of updating the backgr
trafficGmmjiazao
- 给一段视频加噪声，并通过混合高斯模型提取背景，可以验证混合高斯模型对噪声的鲁棒性！有注释！-To add a video noise, and Gaussian mixture model by extracting the background, you can verify the Gaussian mixture model robustness to noise! A comment!
BGFG_CODEBOOK
- 基于码书的运动目标检测是和混合高斯模型（MoG，GMM）类似的而简单有效的背景剪除方法，附件是VC++6.0编写的基于码书的运动目标检测，可直接读取摄像头，也可改为读取硬盘视频文件，需安装Opencv1.1，-Codebook-based moving target detection and Gaussian mixture model is (MoG, GMM) and a similar cut off the background simple and effective method
CvGaussBGModel
- opncv实现高斯混合模型，背景、前景检测-opncv Gaussian mixture model to achieve
20110301151907
- ：为解决现有视频监控系统中目标检测算法无法应付复杂的室外环境且计算量和存储量较大等问题，将像素从RGB 空间转换到YUV 空间建立基于码本的背景模型，并单独对每个码字中的亮度分量进行高斯建模，提取运动目标的轮廓后，用连通区域算法对图像进行形态 学处理。典型测试序列和ROC 数据的对比实验结果证明该算法是高效和实用的，且易于在DSP 或FPGA 等嵌入式系统上实时实现。-】In order to solve the problems that the existing motion det
object-detect-and-recogonise
- 以混合高斯模型为基础，利用背景差分法获得目标图像并有阴影检测的方法进行目标检测-The Gaussian mixture model based on the use of the background difference method to obtain the target image and a shadow detection method for target detection
mixture_of_gaussians
- 完整的混合高斯模型，能够很好的尽力背景模型-Complete Gaussian mixture model, very good to try to background model
vs_gauss
- 混合高斯模型，可用于opencv2.2版本，并且改善了不能显示背景的缺点-Gaussian mixture model can be used to opencv2.2 version, and improve the shortcomings can not display the background
Sequence
- 混合高斯建模读取图片序列，前景背景比较-Gaussian mixture modeling reading the image sequence, foreground and background
YCbCrGauaaModel
- 利用基于YCbCr空间的高斯模型建立背景，并实时更新，通过背景差分法检测出道路中的运动车辆目标，效果较好。-Gaussian model based on the YCbCr space is used to establish the background, updating in real time. Then background subtraction method is used to detect the target of the movement of vehicles in
detect
- 使用背景差分法，采用了高斯滤波法对其进行平滑，然后将视频的第一帧作为背景，其次，对去噪后的图像做帧与背景间的差分运算，再利用阈值分割，将运动目标从背景中提取出来-Using background subtraction, using the Gaussian filtering method was used to smooth, then the first frame of the video as a background, and secondly, the differential e
cppbgfg_gaussmix2
- 背景建模方法之高斯混合模型，使用到MOG2。算法快，并且可以进行阴影检测。遍历性：对每一个像素进行建模。作者为Z.Zivkovic-The algorithm similar to the standard Stauffer&Grimson algorithm with additional selection of the number of the Gaussian components based on: "Recursive unsupervised learning of fini
beijin
- 背景建模，基于改进混合高斯模型的背景建模-Background modeling, background modeling based on the improved Gaussian mixture model
Gaussian-mixture-model-Article
- 高斯混合模型的背景提取，目标检测算法的几篇论文！对于理解和研究高斯模型有很大帮助！-Gaussian mixture model for background extraction, several papers in the target detection algorithm! For the understanding and study of the Gaussian model of great help!
qpsk_AWGN
- QPSK在AWGN信道下仿真,主要描述的是其在高斯白噪声背景下的误码性能的仿真-APSK simulink in AWGN chanel
gmmcv
- 混合高斯模型 在opencv平台下实现 能够分离出视频序列中运动区域，并且建立背景-GMM gaussion mixture models