搜索资源列表
Gaussian
- OPENCV 的 高斯背景提取,可以方便的进行背景建模与分析-Extraction of the Gaussian background OPENCV, to facilitate the conduct of background modeling and analysis
pspicevediopro2
- pspice 电路仿真视频,从建立电路模型到仿真一整套视频-pspice simlate video from modeling to
Detection-of-moving-objects
- 利用背景建模检测运动物体。视频是一个交通路面的视频(自己可以去下个)-Moving object detection using background modeling. Video is a video of a traffic road (they can go to the next)
hunhegaosijianmo
- 在MATLAB环境下,用混合高斯背景建模的方法实现对视频中运动目标的检测-In the MATLAB environment, using Gaussian mixture background modeling method to achieve the detection of moving targets in the video
3D
- openCV结合openGL从俩摄像头捕捉视频图像,实时校正图像并进行3D建模-combine openGL openCV capture video images from two cameras, real-time correction image and 3D modeling
GAUSSIAN
- 视频图像处理,采用背景减除法中单高斯建模进行前景和背景的分离-Video image processing, background subtraction method using a single Gaussian modeling conducted foreground and background separation
mixture_of_gaussians
- 视频图像处理,采用背景减除法中混合高斯建模进行视频前景和背景的分离-Video image processing, background subtraction method using Gaussian mixture modeling to separate the foreground and background video
GMM
- 针对摄像机固定下的复杂背景环境,对采集到的视频图像的图像数据用混合高斯背景建模方法实现前景/背景分割,实现运动目标检测和跟踪。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。然后在测试阶段,对新来的像素进行GMM匹配,如果该像素值能够匹配其中一个高斯,则认为是背景,否则认为是前景。由于整个过程GMM模型在不断更新学习中,所以对动态背景有一定的鲁棒性。最后通过对一个有树枝摇摆的动态背景进行前景检测,取得了较好的效果。-For c
vibeforpi
- ViBE背景建模算法,从 PC上移植改编,可在嵌入式上运行,效率较高-ViBE background modeling algorithm, coded PC to imbeded.
3dsviewer
- 3dsviewer for 3d modeling
backgroundModeling-master
- matlab code for background modeling
fall
- 混合高斯背景建模与CamShift算法结合的基于openCV的视频目标跟踪(OpenCV based video target tracking combined with hybrid Gauss background modeling and CamShift algorithm)