搜索资源列表
MATLAB_高斯模型
- 用高斯模型算法来处理视频,提取前景信息,适合动态背景(Gauss model algorithm is used to process video and extract foreground information, which is suitable for dynamic background)
光流法
- 光流法处理视频的前景信息的提取,该算法适应于静态背景(Optical flow processing of video foreground information extraction, the algorithm is adapted to the static background)
运动估计
- 运动估计算法去提取动态背景的前景信息,效果不是很好(Motion estimation algorithm to extract the foreground information of the dynamic background, the effect is not very good)
新建文件夹 (2)
- 进行视频的背景前景提取以及视频图片转换、视频的噪点去除(Video background and foreground extraction)
代码
- 静态背景 ,显著目标提取,帧间差分法,背景差分法,运动目标提取(Moving object extraction)
first
- MATLAB 里基于背景差法提取前景目标,已经试过,可以提取(Foreground target extraction based on background subtraction)
trackingMethodsOnCar
- 目标检测,对包含动态背景信息的监控视频,设计有效的前景目标提取方案。(Target detection, an efficient foreground object extraction scheme is designed for surveillance video with dynamic background information.)
trackingMethodsOnHighwayFScore
- 对包含动态背景信息的监控视频,设计有效的前景目标提取方案。(Target detection, an efficient foreground object extraction scheme is designed for surveillance video with dynamic background information.)
sift代码
- sift处理图像,实现动态背景前景目标提取(Sift processing images to achieve dynamic background, foreground, target extraction)
hunhe
- 采用多个高斯分布的方式来描述背景像素点的特征,在线地更新参数和权重,实现运动检测和前景提取的同步进行,即采用混合高斯背景算法进行建模,以降低动态背景的干扰。(The characteristics of the background pixel are described by several Gaussian distributions, and the parameters and weights are updated online. Synchronization of motion d
gai
- 利用背景减除法从视频场景中提取前景目标,背景减除法在有较好的静态背景图像的基础上会有比较好的提取效果。(Background subtraction is used to extract foreground target from video scene. Background subtraction method has better extraction effect on the basis of better static background image.)
第一种方法的输出
- 背景减除提取前景并保存前景视频,利用的是opencv python(Background subtraction extracts foreground and saves foreground videos)
HelloText
- 利用OPENCV自带库,读取摄像头,采集信号,扣除背景,计算质心,(Use OPENCV library, read the camera, collect signals, subtract the background, calculate the centroid,)
avergBg_subtraction
- 采用平均背景法读取视频每一帧,计算出背景后存为之后差分对,仿真matlab版本2014a其他的没有测试,但是视频读取务必选用黑白视频。(Using the average background method to read video each frame, calculate the background, save as after difference, simulation matlab version of 2014a, the other did not test, but vide
FGseg
- 用于视频前景目标提取,包含测试数据,可运行(This package can be used for video foreground target extraction. It includes executable programs and test data files and thus it can be run directly.)
BeiJingFenLi2
- 混合高斯背景建模进行背景分离,在实行膨胀腐蚀操作提取运动目标特征(Mixed Gaussian Background Modeling for Background Segmentation, Extraction of Moving Target Features During Erosion Operation)
background
- 使用背景差分法实现一般视频的前景运动目标提取和检测。(The background difference method is used to realize the extraction and detection of the foreground moving target in the general video.)
多目标跟踪opencv
- 先用背景差分完成目标提取,将运动目标的相关信息放入到链表中,通过帧差完成对多目标的跟踪,达到实时性的要求 运动目标的相关信息存放于结构体中,可以在此基础上判断目标的动作行为跟踪基本框架,opencv编写,利用背景差分,质心法可以跟踪多个目标,并分配ID号,记录行动轨迹,可用于车辆道路等,大家可以参考学习下,效果有待改进,不同的视频会有不同的效果。(The relevant information of the moving object is stored in the structure.
Frame difference-based foreground extraction
- 基于帧差分法的视频前景提取,在matlab环境中运行,速度快,静态背景下效果好(Video foreground extraction based on frame difference method)
kernel density estimate
- 核密度估计得背景提取的改进,通过关键桢获得背景模型(Improvement of background extraction of kernel density estimate)