搜索资源列表
01
- 能够初步实现静态背景下的前景提取，能够为初学者提供一定的借鉴。(It can realize foreground extraction in static background, It can provide some reference for beginners.)
code
- 初步尝试使用单高斯模型进行背景建模与跟踪提取，采用形态学方法，对于背景单一的场景，提取效果还可以。(Preliminary attempts are made to use single Gauss model for background modeling and tracking extraction. Morphological method is used to extract the effect from a single
Lucas_Kanade
- 光流法提取动态背景前景目标，具有良好的抗噪和抗干扰能力。(Optical flow extraction of dynamic background prospects, with good anti-noise and anti-jamming capability.)
backgroundsubtraction-master
- 通过对每帧的图像与背景模型进行对比，进而提取前景目标(By comparing the image of each fr a me with the background model, the foreground target is extracted)
GMMmatlab程序
- 混合高斯模型，用于背景变化无抖动的目标的前景提取(The hybrid Gauss model is used for foreground extraction of background invariant targets without jitter)
MATLAB
- 帧间差MATLAB提取静态背景的前景信息(fr a me difference MATLAB extracts foreground information from static background)
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 onlin
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 b
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 fr a me, calculate the background, save as after difference, simulation matlab version of 2014a,