搜索资源列表
targets-detection-and-tracking
- 基于vc++6.0+opencv的运动目标的检测与跟踪，包括一个小车视频，主要功能是在噪声、静止背景下实现运动目标的检测-Vc++6.0+ opencv-based moving target detection and tracking, including a car video, the main function is in the noise, static background detection of moving objects
DIP
- 图像的操作，及视频流的相关操作，基于opencv，运动目标检测，中值滤波，高斯背景模型，混合高斯模型-The operation of the image, and video streams related operations, based on the opencv, motion detection, median filtering, Gaussian background model, Gaussian mixture model
motion-tracking-system-
- 本文分析比较了传统运动目标检测的3种主要方法:背景图像差分法、时态差分法和光流法,在此基础上给出了一种背景图像预测算法,大大减少了因为背景变化而产生的目标检测误差。本文基于OpenCV设计出改进的运动目标检测与跟踪算法,实现了运动目标的跟踪,并在VC++编译环境下,利用USB摄像头作为视频采集器,通过观察实验结果可以看出,本文的运动目标检测算法能够正确地检测出视频图像中的运动目标,而且在检测性能上优于普通的自适应背景差分法。 -OpenCV-based motion tracking sys
Background_Subtraction
- 基于opencv的背景差法，实现前景和背景的分离。需要先配置好vc2008，然后编译执行。-Opencv background difference based method to achieve the separation of foreground and background. Need to configured vc2008, and then compile the implementation.
Hand-detection-and-recognition
- 基于openCV的手势检测与识别代码，其中使用了基于颜色的分割算法，如果结合运动检测和减背景方法，算法将会更加稳健。-Hand gesture detection and recognition using openCV and the color based segmentation method. If, combinned with motion detection and background substraction, it supposes to be robuster.
VIS
- 该源码是关于运动对象跟踪的算法，主要实现了高斯背景建模，全局运动补偿（SIFT特征和RANSAC算法），运动对象检测，对象跟踪算法（Mean Shift，Particle Filter等），对象特征提取（轨迹，大小，起止帧等），同时，程序基于VC2008+OpenCV开发，实现了对话框式的程序界面，效率高。-This is a source about motion object tracking, including foreground modeling,object detection,o
13
- 使用opencv实现图像的背景提取，其中很好的实现了背景的提取-Using opencv background of image extraction, which achieved a good background extraction
VTraffic(thread_no_leak)
- VC6.0+opencv环境下运动检测的实例，使用了帧差法、GMM方法等，可以对比不同建模方法的效果-VC6.0+ opencv environment, motion detection example, using the frame difference method, GMM methods, you can compare the effect of different modeling methods
codebook
- 用opencv中的codebook法相关函数实现的背景分割程序-The codebook method using opencv in the background correlation function to achieve segmentation procedure
BGmodel
- 这是利用opencv工具编写的背景建模程序，效果很好，内有视频文件，可直接运行-This is a tool written using opencv background modeling procedure, a good effect, there are video files, can be directly run
bkgrd
- 利用背景建模检测运动物体（openCV)-Detection using background modeling moving objects (openCV)
ITS_llTJ.xml
- 智能交通的一部分，CSharp写得 功能较全 利用背景差分来统计车辆，用到了OpenCv库-Part of intelligent transportation, CSharp written feature difference than the whole background to the use of statistical vehicles, used the library OpenCv
RunningArgbackground
- 结合Opencv工具，在vc++平台上的程序。利用背景差算法进行运动目标检测，用到RunningArg算法。-Opencv combination of tools, in vc++ platform procedures. Poor use of the background moving target detection algorithm, RunningArg algorithm used.
bkgrd
- 基于opencv 利用背景建模检测物体-bkgrd
Gaussian
- OPENCV 的 高斯背景提取，可以方便的进行背景建模与分析-Extraction of the Gaussian background OPENCV, to facilitate the conduct of background modeling and analysis
background_gen_c
- 通过读取视频流，基于OpenCV建立背景模型，以用于前景检测-By reading the video stream, based on the OpenCV ，generate background model for the foreground pixels detection
Gauss
- 高斯背景建模，利用opencv进行处理，并且提取出前景-Gaussian background modeling, to deal with the use opencv, and the prospect of extracting
opencvBackgroundExtraction
- 利用opencv 的 高斯模型来进行背景建模，在背景变化不大的情况下工作的不错。最好能有几帧纯粹的背景用于建模，这样效果会更好。-build the background model using Gaussian in opencv. some static background will make it works better
gauss-backgrounds
- 本程序可以进行视频的动态提取背景，使用的是高斯模型使用前请配置好opencv环境。希望对大家学习人脸检测有所帮助-This procedure can extract the dynamic video background, using a Gaussian model configured before use opencv environment. We would like to learn helpful Face Detection ...
PreProcessor
- 基于OPencvr开发环境的图像预处理算法。包括中值滤波，形态学滤波，二值化处理及图像背景校正。--Image Pre-processing algorithm based on OPENCV. Including median filtering, morphological filtering, binarization image processing and background correction.