搜索资源列表
MVOODS_resource
- 今年带的毕业设计,基于opencv的运动物体检测,做的还不错-Graduates this year with the design, based on the moving object detection opencv, do good
opticalflow
- 利用光流场设计一个运动目标检测算法,使用opencv实现-The use of optical flow field design of a moving target detection algorithm, the realization of the use of opencv
VCOPENCV
- VC与opencv环境下人脸角点检测与运动跟踪-VC environment with the opencv Human Face detection and motion tracking Corner
OpencvMotionTrack
- Opencv中的运动追踪的实现(AutoCamShift snake)-Opencv of the movement to track the realization of (AutoCamShift snake)
Kalman
- 基于OpenCV的Kalman滤波算法。利用Kalman滤波算法实现目标跟踪,本例中具体跟踪对象为随机产生的圆的轨迹,预测轨迹中下一点的位置,标记出来并给出相应的运动轨迹。-The Kalman filtering algorithm based on OpenCV. The use of Kalman filter algorithm for target tracking, in this case specifically track the object is randomly gene
HumanMotionTrack
- 基于opencv的运动人体检测。可以通过这个程序搭建自己的检测平台。-Based on opencv,this can detect moving human body.
camerads
- 利用OpenCV实现对运动物体的检测,用普通的摄像头就可以检验代码的效果。-OPENCV CODE FOR MOTION TESTING
OpenCV_forward_backwrd_MHI
- Forward-Backward MHI(前后向运动历史图)是一个快速有效的运动目标检测方法,本程序正是实现2006年Zhaozheng Yin and Robert Collins的“Moving Object Localization in Thermal Imagery by Forward-backward MHI”文献中的方法。此程序可以很方便的对该方法的优缺点作出评判。给运动目标检测器的选择提供了除“帧间差”和“背景相减”外的又一方法。 本程序基于OpenCV。-Forwar
yundong
- 采用 CAMSHIFT 算法快速跟踪和检测运动目标的 C/C++ 源代码,OPENCV BETA 4.0 版本在其 SAMPLE 中给出了这个例子。算法的简单描述如下-This application demonstrates a fast, simple color tracking algorithm that can be used to track faces, hands . The CAMSHIFT algorithm is a modification of the Meanshi
opencv
- opencv的相关操作,用c++实现对运动目标的监控-using opencv to detect moving object
liyang03
- 利用opencv实现运动估计,里面包括一个典型的视频例子。-Opencv achieved using motion estimation, which includes a typical video example
sss_source
- 《OpenCV教程》(基础篇)是国内第一本全面介绍OpenCV的中文版图书,对OpenCV开放源代码计算机视觉库进行了详细讲解。OpenCV由一系列C函数和C++类构成,功能涵盖图像处理、计算机视觉和模式识别等领域。OpenCV实现了大量通用算法,涉及到图像处理、结构分析、运动检测、摄像机定标、三维重建以及机器学习等方面,并有较高的运行效率。-The Open Source Computer Vision Library may contain design defects or errors
blobtrack
- 针对在复杂背景中检测出多批特定运动目标并实施分配批号实行标记跟踪,本文利用OpenCV的运动物体跟踪的数据结构、函数以及基本框架,建立了一个由人机交互界面模块;运动物体的前景检测模块;运动物体的团块特征检测模块;运动物体的团块跟踪模块轨迹生成模块;轨迹后处理模块组成的视频图像运动目标分析系统。-Aim at detecting,tracking and marking multipule specific targets in complex background.We use the ba
blobtrack
- 该代码是一个运动目标检测与识别的源代码,基于OPENCV的,要在DOS下运行-The code is a moving target detection and identification of the source code, based on OPENCV, and to run under DOS
motempl
- 该代码是计算运动历史图像的实例,运动模板的检测,基于OPENCV-The code is to calculate the motion history image example, motion detection template, based on OPENCV
OpenCV_based_tracking
- 运动目标的检测跟踪在机器人视觉,监控测量和视频压缩编码等等方面有着广泛的应用,是近年来的一个研究热点。本文设计了一个基于OpenCV软件的运动目标检测跟踪实验平台,对摄像头视野中的运动目标进行实时检测和跟踪,并留下编程和硬件接口,为利用运动目标跟踪而进行机器人视觉和基于计算机视觉的测量监控研究打下基础。-Moving target detection and tracking in robot vision, monitoring measurements and video compressi
tracing
- 此代码用opencv和cv++实现运动目标的跟踪-This code cv++ with opencv and tracking moving objects
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
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
moveboject1.0
- 基于opencv运动目标检测的中值模型,单高斯模型,简单统计模型的检测及监控系统-Opencv moving target detection based on the median model, a single Gaussian model, a simple statistical model of detection and monitoring system