搜索资源列表
基于opencv并在vc开发环境下的视频运动目标检测
- 基于opencv并在vc开发环境下的视频运动目标检测-Opencv-based development environment in vc video motion detection
track2
- 运动目标检测与跟踪：用的是pyramid L-K 光流追踪-Moving target detection and tracking: using a pyramid LK optical flow tracking
motiondetect
- 基于OPENCV开源函数库的运动目标检测，源码-OPENCV open source library based on the moving target detection, source
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
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
otsu
- 利用opencv采集视频输入，并将输入的图像调用OTSU算法，提取运动目标-Using opencv capture video input, and input image is called OTSU algorithm to extract moving objects
MovingObjectTracking
- 基于OPENCV实现的粒子滤波运动目标跟踪源程序-Particle Filter Moving Object Tracking based on OPENCV
Opencv
- 利用Opencv完成静态背景下的运动目标检测-The use of static Opencv the context of the completion of the moving target detection
objectdetected
- LK算法实现视频中运动目标检测,利用OPENCV开发工具中的LK函数-object detect
OpenCV
- 基于OpenCV的运动目标检测跟踪实验平台-OpenCV
timecup
- 基于运动目标opencv的时间差分运动目标检测-Opencv moving target based on the time difference moving target detection
OPENCVgmm_modeling
- 基于OPENCV高斯背景建模源码，可实现初步的运动目标检测-OPENCV Gaussian background modeling based on source code, enabling the initial detection of moving targets
blobtrack
- opencv实现运动目标跟踪，检测，自己开发的，效果不错-opencv tracking moving objects, detection, self-developed, good results
OpencvUIDlg2.1
- MFC下使用camshift实现运动目标跟踪。-Using camshift tracking moving objects under MFC .
motion-detection-techniques
- 研究了基于混合高斯模型的运动目标检测技术,在分析了混合高斯模型的基本原理的基础上,使用了一种改进的混合高斯模型更新算法.在Visual C++6.0中利用OpenCV完成了相关算法,成功地提取出了运动目标和实验场景的背景,验证了该改进的混合高斯模型更新算法的可行性-OpenCV-based motion detection techniques I have read some articles, I feel you can, share
opencv-多目标跟踪
- 基于opencv，对多个运动目标进行跟踪，工程已附带测试视频(Based on OpenCV, multiple moving targets are tracked, and the project has been attached to test 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.)
Debug
- opencv实现视频处理运动目标检测，使用帧差法，但是易受背景噪声影响(Opencv implements video processing moving target detection, using frame difference method, but it is easily affected by background noise.)
opflow
- 成功运行，利用光流法检测出运动视频中的运动目标，并标记出特征点的运动轨迹。(using the optical flow method to detect the moving target in the motion video, and marking the trajectory of the feature point.)
运动目标检测
- 检测骑自行车的人，随运动轨迹框出，适合刚接触运用opencv进行目标跟踪的编程爱好者参考(Detect the cyclist displaying the movement track)