搜索资源列表
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)
72012689vibematlab
- 在视频的目标前景提取中，背景减除法需要用到的背景图像，可用背景提取的算法-vibe算法得到(For video background extraction algorithm, -vibe algorithm)
改进的高斯混合背景模型的实现
- 利用改进的高斯混合模型对前景目标的提取有较好的作用，这是基于OpenCV的C++程序，请安装OpenCV库进行调试(The improved Gauss mixture model has a good effect on foreground target extraction. This is a C++ program based on OpenCV. Please install OpenCV library for debugging)
opncv
- 动态目标追踪和前景背景提取，使用Python和opencv编程(Dynamic object tracking and foreground background extraction, using Python and opencv programming)
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)
sy5
- 利用混合高斯模糊算法提取视频前景图，可以将静态视频中的动态目标提取出来。方便观察研究运动目标。(Using hybrid Gauss fuzzy algorithm to extract video foreground images, dynamic objects in static video can be extracted. It is convenient to observe and study the moving targets.)
bgs(1)
- 监控视频中，不缓动镜头下，不变静态背景下的前景目标提取，环境C++(In surveillance video, foreground objects are extracted under the same static background without moving shots, and the environment C++)
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.)
pom_1.1.tar
- 多摄像头前景目标提取，检测在室内的运动人物的编号，多个摄像头提供的同步图像确定同一个人。(Foreground target extraction from multiple cameras)
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)
multiObjectTracking
- 在静态背景下，提取运动物体(前景检测）并对其标号(In the static background, the moving object (foreground detection) is extracted and its label is extracted)
帧间差分法
- 通过帧间差分法提取视频前景目标，并进行后续形态学处理(The foreground of the video is extracted by frame difference method and the subsequent morphological processing is carried out)
qianjing
- 前景目标提取运用侦差法，实现了二值化和膨胀处理(Foreground target extraction by Inter station difference method)
三种传统背景减除法
- 使用帧差法、均值法和混合高斯模型对背景进行去除、提取前景信息。来源于2017年研究生数学建模比赛D题。(The background information is removed and the foreground information is extracted by frame difference method, mean value method and hybrid Gauss model. D graduate from the 2017 mathematical modeling
hunhegaosi
- 混合高斯前景提取。数学建模时编的，测试视频就在包内，可以作为学习交流用，环境2014a的matlab，后有添加形态处理都在注释里。一起学习。有matlab编的vibe程序欢迎交流(Hybrid Gauss foreground extraction. Mathematical modeling of the series, the test video is in the package, can be used as a learning exchange, the environment 2
17研究生数建模论文题目1,2两题源程序及视频附件
- 可以实现前景提取，并在一定程度上减小诸如水波的流动的影响(The foreground extraction can be realized, and the influence of water flow is reduced to a certain extent)
SmokeDetection
- 两种烟雾处理的方法可以有效的提取前景和背景，并且具备保存功能。相比较其他方法这两种方法是可以直接使用的没有错误。(Two kinds of smoke treatment methods can effectively extract the foreground and background, and have the preservation function. Compared with other methods, the two methods can be used directly
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)