搜索资源列表
SimplestSaliencyExample
- 基于OPENCV的前景目标分割程序，使用高斯背景建模将移动的前景目标分割出来。-a saliency region extraction program based on OPENCV library using Gaussian background modeling method.
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
Object_Detection_GM
- 基于opencv，对场景背景Gaussian Mixture建模，从而提取前景目标-Moving Target Detection based on back ground modeled as Gassian Mixture
getImg
- 利用OPENCV，实现运动目标的前景检测-Use OPENCV, to achieve the prospect of moving target detection
target-detection-and-tracking
- 论文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，利用OPENCV的运动物体跟踪的数据结构、函数和基本框架，建立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等，最后使用建立的系统进行了实验，结果表明系统能正确的进行运动物体的实时检测和跟踪，并具有良好的鲁棒性。-OpenCV-based moving target detection and tracking of some of the articles I read, I feel you c
opencvVideoRead
- 在视频图像处理中，二值图像中的前景目标有时候会产生空洞现象，此采用Opencv实现二值图像的空洞填充-Foreground objects in video image processing, binary image can sometimes produce cavitation, Opencv binary image hole filling
VideoDetect
- 基于OpenCV的简易目标检测跟踪程序，能够实现对每帧视频的连续编号截图，可以实现键盘对视频播放的控制，能对每一视频帧生成包含运动目标区域的前景图像，采用某种策略实现对运动目标的跟踪，并用矩形框+编号将运动目标标出。-A simple target detection program base on OpenCV , which can numbered consecutively for each frame of video screenshots, keyboard control the
GMM_OpenCV
- 用opencv编写的GMM，用于进行前景检测，人物探测，目标跟踪-Gaussian Mixture Model for human tracking
FixedCamShift
- 改进后的Camshift算法（连续自适应的MeanShift算法），是将OpenCV中的Camshift背景检测和前景检测以及运动目标跟踪过程经过修改之后的代码。-FixedCamshift algorithm (the continuous adaptive MeanShift algorithm), is the Camshift background OpenCV detection and prospects for detection and moving target trackin
GMM
- 基于混合高斯背景建模的目标运动意图分析,通过混合高斯背景建模进行前景提取，自己写高斯模型，并非通过OPENCV函数库-motion detection based on GMM method
detectFront
- 基于Opencv的视频序列前景检测模块，可以用来检测自动化目标跟踪的初始位置-Opencv based video sequences foreground detection module,can be used to detect the initial position in automated target tracking
camshift-tracking-based-on-opencv
- camshift算法跟踪-运行效果好.rar，是基于opencv的camshift算法，能提取背景、前景，实现对目标的跟踪，已调试能运行。-camshift algorithm track- good running effect rar, is based on the opencv camshift algorithm can extract the background, foreground, to achieve the goal of tracking, debugging can
guassian
- 混合高斯背景模型，背景差法，检测运动目标，环境VC2008，Opencv，前景与背景分开显示-Gaussian mixture background model background subtraction method to detect moving targets
opencv_detect
- opencv中常用的检测和跟踪算法原理介绍,介绍了常用的前景检测与目标跟踪算法-opencv principle commonly used in the detection and tracking algorithm, the introduction of the common prospects for detection and target tracking algorithm
mean-shift
- 基于meanshift/camshift的视频运动目标跟踪实现，通过鼠标手动选择跟踪目标。基于HSV空间模型，可手动调节H S V的阈值，显示前景、背景、反响投影图。开发工具是VS2008、OPENCV.-Based meanshift/camshift video moving target tracking achieved manually using the mouse to select the target track. HSV space model, you can manual
blobtrack
- opencv自带的跟踪框架程序，方便开发者开发出能够自动检测前景、目标跟踪的算法程序-Opencv own tracking framework application, convenient and developers to develop to be able to automatically detect prospects, the algorithm of target tracking application
ExtractForeground
- opencv 调用，视频前景目标分割，动目标提取，对静态视频背景进行分割，提取出运动目标。(Opencv call, video foreground target segmentation, moving object extraction, segmentation of static video background, extraction of moving objects.)
平均背景法-动静态背景视频前景目标提取
- 平均背景法， 动静态视频前景目标提取， 输出mask， opencv(Average background method, dynamic and static video foreground target extraction, output mask, opencv)
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)