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.
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
single_bgk
- 单帧背景建模，将第一帧作为背景，从而检测出视频中的目标前景，简单的目标检测算法，需要的朋友可以下载哦-Single frame background modeling, the first frame as the background to detect the target prospects for the video, a simple target detection algorithms, need a friend Oh, you can download
Shadowtracking
- 前景检测，用于检测视频运动目标，本文用的模型是高斯模型，效果好-foreground detecting
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
object_find
- 实现对运动目标的跟踪和搜索，在输出图像里面绘出前景图像。-Moving target tracking and search in the output image which draw the foreground image.
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
ParticleFilter
- 颜色直方图粒子滤波器，并给出了英文参考文献； 运行方式：在前景窗口，按p键停止，在目标区域点击鼠标，让程序自动识别出目标轮廓，再次按p键，即可跟踪-The color histogram particle filter, given English references operation modes: in the foreground window, press p stop clicking the mouse in the target area, allowing the pro
gaosi
- 通过建立高斯混合模型用于运动目标检测，将视频帧检测为前景和背景-Target detection through the establishment of Gaussian mixture model for motion video frame detection for foreground and background
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
GMMtest
- 混合高斯模型，用于多模态场景中的背景前景检测，还特意实现了RGB前景目标的显示，用vs2010+opencv2.3.0开发-Used for background modeling, the gaussian mixture model can display the backgrounds, prospects. Can be used for multimodal,
Average-background-method
- 平均背景法是一种学习背景场景和分割前景目标的简单方法。这种方法只能用于背景场景中不包含运动部分。而且，这种方法还要求光线保持不变，比如室内静止场景。-Average background method is a simple way to split the background and foreground objects scene study. This method can only be used for background scene does not contain moving
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.)
11
- 光流法处理图像，提取前景图像，复杂场景，动态目标(Optical flow is used to process images, extract foreground images, complex scenes, and dynamic 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)
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)
pom_1.1.tar
- 多摄像头前景目标提取，检测在室内的运动人物的编号，多个摄像头提供的同步图像确定同一个人。(Foreground target extraction from multiple cameras)
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.)