搜索资源列表
GAUSS
- 读入视频后，高斯背景建模代码的 代码 实现流程-After reading the video, Gaussian background modeling code, code flow
AnhTuanAVSS14
- 本文主要研究基于深度图相机的人体检测背景建模，用到的方法是码本建模，很有参考价值-his paper mainly studies the human body detection based on depth map camera background modeling, using this modeling method is the codebook, has a reference value
GMMM
- 此文主要简单介绍高斯背景建模的方法，并对opencv的源代码做分析，有一定的参考价值。-This article mainly introduces gaussian background modeling method, were reviewed and opencv source code analysis, has the certain reference value.
W5
- 视频帧序列实现基于GMM（高斯混合模型）的背景建模-Video frame sequence implementation based on GMM (Gauss mixture model) background modeling
Background-difference-method
- 背景差分法是采用图像序列中的当前帧和背景参考模型比较来检测运动物体的一种方法,其性能依赖于所使用的背景建模技术。背景差分法检测运动目标速度快，检测准确，易于实现，其关键是背景图像的获取。在实际应用中，静止背景是不易直接获得的，同时，由于背景图像的动态变化，需要通过视频序列的帧间信息来估计和恢复背景，即背景重建，所以要选择性的更新背景。-Background difference method is the use of images in the sequence of the current
vibe
- Vibe,通用环境下运动目标检测算法，相对传统背景建模的方法，ViBe算法实时性更高，背景重建的时间短。-Vibe, motion detection algorithm under general environmental objectives, relative to traditional background modeling method, ViBe higher real-time performance, background reconstruction time is sho
Frame_diff1
- 基于opencv的帧差法背景建模源代码，阈值设置为20-Opencv based background modeling frame difference method source code
GMM
- 混合高斯背景建模,检测效果很好，拖尾现象几乎没有。-background modeling
codebookopencv
- opencv和coodebook结合，做视频的背景建模和目标检测，可以用于视频分析和视频浓缩。-opencv combined and codebook do background modeling and object detection video can be used for video analysis and video concentrated.
background-subtract--of-gauss
- 混合高斯背景建模程序，实现视频图像实时背景建模和目标跟踪-Gaussian mixture background modeling procedures to achieve real-time video image background modeling and target tracking
VIBE
- VIBE用于视频背景建模，经典算法，C++和matlab代码都有，文件是全的。-VIBE for video background modeling, classical algorithms, C++ and matlab code has a file is complete.
code
- 在matlab中利用中值法实现图像的背景建模。-Value method implementation image background modeling, simulation provides a simple and useful program in matlab use.
gaosijianmou
- vs2010结合opencv2.4.9利用高斯背景建模，然后背景减除法提取运动目标-vs2010 binding opencv2.4.9 Gauss background modeling and background subtraction method to extract moving target
BGS_Library
- 29种开源背景建模库 做图像处理使用 尤其可以作为背景建模研究用 绝对让你爽到爆-29 kinds of open source libraries to do image processing using background modeling Especially can be used as a background modeling research Absolutely let you cool to explode
bgslibrarymfc_gui
- 37种背景建模技术 觉得可以使用的MFC界面 一定要按照说明，这样上手也快 我自己已经测试没问题，SUBESENCE算法也有哈 绝对让你爽到飞-37 kinds of background modeling technology Think you can use the MFC interface Be sure to follow the instructions, so get started faster I have test no problem, SUBESEN
Untitled
- 将视频读取出来，并利用均值法的背景建模方法进行背景消除，并将原先的背景图像显示出来，并将提取出来的背景模型显示。-The video read out, and the use of background modeling method means method to eliminate the background and the background of the original image is displayed, and extracted the background model
Mean-background-modeling
- 使用均值方法剔除运动前景物体，达到背景建模的效果，此方法前景物体剔除比较干净-The mean value method is used to eliminate the foreground object, which can achieve the effect of background modeling.
ViBe_Matlab
- ViBe背景建模，用于前景检测的Matlab代码。与官网的实现方法类似，只实现了最基础的建模部分。-ViBe background modeling, the prospects for the detection of Matlab code. Similar to the implementation of the official website, only to achieve the most basic part modeling.
vibe
- ViBe是一种像素级的背景建模、前景检测算法，该算法主要不同之处是背景模型的更新策略，随机选择需要替换的像素的样本，随机选择邻域像素进行更新。-ViBe is pixel-level background for modeling, foreground detection algorithm, which is the main difference between the background model update strategy, randomly selected sample o
vibe
- ViBe是一种像素级视频背景建模或前景检测的算法，效果优于所熟知的几种算法，对硬件内存占用也少。 不仅减少了背景模型建立的过程，还可以处理背景突然变化的情况，当检测到背景突然变化明显时，只需要舍弃原始的模型，重新利用变化后的首帧图像建立背景模型。(a powerful technique for background detection and subtraction in video sequences)