搜索资源列表
vibe
- opencv中vibe背景建模已实现并测试的源代码-opencv the vibe background modeling has been implemented and tested source code
beijingcha
- opencv中背景差背景建模已实现并测试的源代码-opencv background subtraction in the context of modeling has been implemented and tested source code
extractForeground
- opencv中复杂背景背景建模已实现并测试的源代码-opencv background modeling in complex background has been implemented and tested source code
ialm
- 不精确拉格朗日法，求解矩阵补全的凸优化问题，可以用该方法实现背景建模-Imprecise Lagrangian method for solving matrix completion convex optimization problem, you can use this method, background modeling
gaussion_dec
- 采用高斯背景建模方法实现动态背景下运动目标的检测，能够适应一定的背景变化-Gaussian background modeling method to detect moving targets achieved under the dynamic background, able to adapt to certain changes in background
Traffic-statistics-based-on-video
- 基于视频的车流量统计，以背景建模为核心，采用基于高斯混合模型的背景建模方法。-Traffic statistics based on video, the background model as the core, using background modeling method based on Gauss mixture model.
GMM
- 高斯混合滤波建模，基于opencv，用于背景建模，前景检测-Gaussian mixture filter modeling, based on opencv, for background modeling, foreground detection
GMM
- 内含visual C++和MATLAB代码，利用高斯呼喝模型进行背景建模，自适应确定高斯分量的个数，由Z.Zivkovic开发，相关文章是 Improved adaptive Gausian mixture model for background subtraction-Containing visual C++ and MATLAB code, the use of Gaussian background modeling feeding model, adaptive determine
111111111
- 基于opencv的混合高斯背景建模，可对视频中车辆进行运动检测-Gaussian mixture background modeling, can be a vehicle for video motion detection
codebook
- 背景建模 码本 VS2013 + Opencv 2.4.9-VS2012 Opencv 2.4.9 codebook
Gauss
- 背景建模 混合高斯模型 opencv代码和matlab代码-Background modeling Gaussian mixture model opencv code and matlab code
Desk3234top
- 【谷速软件】高斯背景建模 可以做为参考使用 -[Valley] Gaussian background modeling speed software can use as a reference
guassianmodel
- 对采集的视频图像序列进行基于混合高斯模型的背景建模，随着背景的不断更新，提取出的背景效果越来越好，但该方法不适合背景变化剧烈的场景。-Video capture image sequences based on background modeling Gaussian mixture model, with the background of constantly updated, the extracted background effect is getting better, but th
ViBe_seg
- 基于opencv2.4.5的运动目标检测，利用vibe背景建模方法-moving targets detect based on vibe
RPCA
- 基于低秩矩阵恢复的背景建模的目标检测代码-Based on the recovery of low-rank matrix background modeling target detection code
codebook
- Opencv中的一种运动检测方法，运用背景建模，可以快速识别运动物体在前景中显示出来-Opencv in one motion detection method using background modeling, you can quickly identify the moving object is displayed in the foreground
aver-background
- 利用均值法背景建模，即把每一真的对应像素相加除以帧数，即的背景模型-aver background
ViBe
- ViBe是现在最成熟、速度最快的背景建模算法。代码已分装好，亲测可用。需要配置Opencv2.4.2以上的版本.-ViBe is now the most mature and fastest background modeling algorithm. The Code has been dispensed well, pro-test available.Using the code,you should install Opencv 2.4.4 and uper vision.
mixGassianFGextract
- 利用混合高斯进行背景建模，以此来提取前景-Use Gaussian mixture background modeling, in order to extract the foreground
beijingjianmo
- LBP改进算法，可以用于视频监控中的背景建模，matlab实现-LBP improved algorithm, can be used for video surveillance in the background modeling, matlab implementation...