搜索资源列表
mixGBm
- 混合高斯背景建模 对运动物体进行检测 有助于初学者-Gauss mixture background model for moving object detection
HTK-digital-SR-system-
- 该系统能够识别连续说出的数字串和若干组姓名。建模是针对子词(sub-word, eg. 音 素)，具有一定的可扩充性。当加入一个新名字时，只需修改发音词典和任务语法即可。模 型为连续混合高斯输出，运用语音决策树聚类形成的绑定状态式三音素。-The system is able to recognize continuously spoken digit string and the number of groups name. Modeling is a sub-word (sub-wo
GMM
- 利用混合高斯进行背景建模，实现运动目标检测-Gaussian mixture background modeling, moving target detection
gmm
- 混合高斯背景建模C++源程序 在进行前景检测前，先对背景进行训练，对图像中每个背景采用一个混合高斯模型进行模拟，每个背景的混合高斯的个数可以自适应。-Before the the mixed Gaussian background the modeling C++ source. During foreground detection, background training, each background image using a Gaussian mixture model simu
mixture_of_gaussians
- 基于混合高斯背景建模的背景差分视频目标检测方法。matlab代码-Video target detection method based on Gaussian mixture background modeling background difference. matlab code
Gauss
- 基于OpenCV的混合高斯背景建模源代码-Gaussian mixture background modeling based on OpenCV source code
gaosi
- 基于混合高斯背景建模的方法用于检测场景中的运动车辆，采用Visual C++和OpenCV实现，程序有详细注释，并且附带测试视频，希望对大家有帮助。-The movement of vehicles, based on Gaussian mixture background modeling method for detecting the scene to adopt the Visual C++ and OpenCV realization, procedures detailed note
GMM
- 混合高斯背景建模，可以把连续帧图片前景与背景区分开来-Mixed gaussian background modeling, can continuous frame picture foreground and background to distinguish
1GHY3249GAOSI
- 对视频进行操作，基于混合高斯背景建模的运动检测。-Video, movement detection based on Gaussian mixture background modeling.
detect-motion
- 在VC++6.0的MFC中结合opencv1.0的环境中编写的运动目标检测，采用的是背景差分法，混合高斯背景建模-Combined opencv1.0 environment written in the MFC VC++6.0 moving target detection using background subtraction method, Gaussian mixture background modeling
mixture_of_gaussians
- 基于改进混合高斯模型的方法进行初始背景的建模及背景更新-Improved Gaussian mixture model-based approach, the initial background modeling and background updates
Untitled
- 基于背景减除法的混合高斯背景建模，用于检测运动目标-Gaussian mixture background modeling based on background subtraction method for detecting moving targets
GMM
- 是opencv 混合高斯模型的原函数，并进行了修改可以实现前景提取并进行背景建模-opencv GMM
bgmodel
- 混合高斯背景建模，基于HSV空间的阴影去除，直接打开avi文件即可运行得到理想的结果-Gaussian mixture background modeling, shadow removal based on HSV space, directly open the avi file to run to get the desired results
gaussian4_28
- 用matlab实现混合高斯背景建模,进一步检测出运动目标-Using matlab to achieve Gaussian mixture background modeling
person-detection
- 采用混合高斯模型和codebook分别进行背景建模，实现行人检测-person detection, GMM and codebook
code_june2010
- 多摄像机多目标跟踪算法, 具体包括混合高斯背景建模, distancemap团块映射, 粒子滤波跟踪, 匈牙利算法信息融合等.-multi camera tracking
xiantian
- 浅论混合高斯背景 关于高斯背景建模的一篇概述论文-On the Gaussian mixture background modeling method
GMM
- 基于混合高斯背景建模的目标运动意图分析,通过混合高斯背景建模进行前景提取，自己写高斯模型，并非通过OPENCV函数库-motion detection based on GMM method
GMMUD
- 用混合高斯模型对背景进行建模，从而提取背景-update background