搜索资源列表
Gauss
- 两篇关于目标检测、跟踪的硕士论文，里面有关于多高斯背景模型的描述，作为学习，不错的资源-Two on target detection, tracking, master' s thesis, which has more than Gaussian background model for the descr iption, as a learning, a good resource
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!
Gauss
- 利用高斯背景建模，进行运动目标的前景检测。-using Gaussian background model to detect the moving targets。
GMM
- 运用OpenCV2.0编辑混合高斯背景建模，能够较好的识别四个视频中的运动前景和背景，在一定程度的背景复杂度下，能够较准确检测。-The use OpenCV2.0 edit Gaussian mixture background modeling, and better identification of four video movement in the foreground and background, the background of a certain degree of com
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
gaussian_backgroun
- 实现了高斯背景建模的方法来对运动目标的检测-object detection using Gaussian background modeling
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
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
GaussBGModel
- 用opencv实现的运动目标检测算法，程序用的是高斯背景建模法，测试用的是夜间车流量的视频，光线变化不大，效果不错-Moving target detection algorithm, with opencv program with the Gaussian background modeling method, the test is the video of night traffic light changes, the effect is good
gaosi1
- 实现人摔倒检测，其中利用了高斯背景建模，经过编译成功运行，希望对大家有点帮助-Realization of the fall detection, which use a Gaussian background modeling, compiled to run successfully, we hope to be helpful