搜索资源列表
VideoDemo
- 图象处理,背景差分,VC++ MFC 背景差分、连续帧差、MeanShift目标跟踪 代码 -Image processing, the background differential
Blink_Detection
- 基于OpenCV编写，使用摄像头，眨眼时通过帧间差来寻找到眼睛位置，并跟踪。-Based on OpenCV write, using the camera blink of an eye, through the inter-frame difference Laixun to find the eye position, and track.
trackingVideoDemo
- 可以对视频目标进行背景差分，或帧间差分，或Mean Shif法，或重心多目标跟踪法进行跟踪目标。-Targets can be the background of the video difference, or inter-frame difference, or Mean Shif law, or the focus of multi-target tracking method to track the target.
KeyFrameDiff
- 我的毕业设计，用matlab编的关键帧提取的代码，参考了光流法的代码。是基于帧差的欧式距离，均值，方差，差异系数下的关键帧提取。代码调试通过，运行结果理想，与大家分享下。-I graduated from design, matlab key frame extraction for the code, with reference to code optical flow method. Frame difference is based on the Euclidean distance,
zhencha
- 简单的帧间差分法，不过可以和其他方法结合来改进算法-A simple inter-frame difference method, but other methods can be combined to improve the algorithm for
5
- matlab仿真程序，帧差法提取运动图像，效果很好-matlab simulation program, the frame difference method to extract moving images, with good results
MovingDetect_frame_diff
- 利用帧差法从背景图像中提前前景图像的一种经典算法-Frame-difference method using the background image from the foreground image in advance of a classical algorithm
moving-object-detection-method-
- 针对视频监控系统的运动目标检测部分,介绍了以OpenCV为平台,以背景减法与帧差法为基础的检测方法。它以背景减法建立和更新背景模型,利用感兴趣区域的设置提高实时性,引入修正的大津法自适应阈值改善二值化效果,并以帧差法为补充降低虚报率及光照变化的影响。实验表明,该方法可以快速有效地对运动目标实施报警。-OpenCV-based moving object detection method and application of some of the articles I read, I feel
zhenchafa
- 使用帧差法对视频中的目标进行跟踪，并画出矩形框与坐标。依靠opencv库，使用时需修改视频路径。(he frame difference method is used to track the object in the video, and the rectangle frame and coordinate are drawn. Depending on the opencv library, you need to modify the video path when using it.)
vidio object detection
- 用帧差法提取视频中的运动目标（静态背景）(Extracting moving objects in video by frame difference method)
zhencha_method
- 使用帧差法实现对运动目标目标提取，以及简单处理(The method of frame difference is used to extract moving object and simple processing)
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)
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
my matlab2
- 用帧差法实现视频内运动物体的捕捉与检测，可自行添加视频文件(Using Frame Difference Method to Realize the Capture of Moving Objects in Video)
BackGround-Fore-Detect
- 包含一些常见的运动目标检测算法，有背景模型算法，混合高斯模型算法，帧差法，经典的CB法，所有源码皆可运行。(This package include some common Moving Object Detection algorithm.Such as the BgModel,CodeBook and Gaussian-mixture-model.)
New Folder
- 采用帧差法来处理图像，实现图形图像的处理(Frame difference processing image)
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)
GMM+帧差发
- 利用VC++ 关于GMM高斯+帧差法 检测移动物体(Using VC + + GMM Gaussian + frame difference method to detect moving objects)
track
- 基于opencv的改进五帧差分算法，用于运动目标检测(Improved five frame difference algorithm based on OpenCV for moving target detection)
基于帧差法与Vibe算法的matlab前景提取代码
- Vibe 运动目标检测 基于matlab(Vbie Moving Target Detection)