搜索资源列表
detectMotion
- 用Opencv实现背景与前景的分离以检测运动对象，效果很好！
detecting
- 运动目标检测,背景差分法提取运动前景目标，背景自动更新-moving object detection
MovingDetection
- 用Opencv实现的一个运动检测的程序。通过摄像头捕捉，把捕捉到的图像分为前景和背景，从而检测出运动图像。-Achieved with Opencv a motion detection process. Captured by the camera, the captured image are separated into foreground and background, to detect the moving image.
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
Humantracking
- 人体运动的检测与跟踪是目前计算机视觉领域中最活跃的研究方向之一，本系统介绍了一种用于视频监控的人体运动检测与跟踪系统，主要功能是对室内、室外固定背景下的运动人体进行检测，可以检测到运动的前景部分。-Human motion detection and tracking is the field of computer vision research, one of the most active, the system introduces a video monitor for human m
srtp
- 我们的srtp项目，是关于数字图像处理的，边缘检测和前景背景提取。-edge detection and foreground extraction
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
CarCount
- 该代码实现车辆的检测，采用了训练的方式，从视频中提取背景，然后做差分，连通域提取等步骤得道前景。该代码采用OPENCV实现。-The code to achieve vehicle detection, using training methods to extract from the video background, and then do differential, connected components extraction and other steps to attain the
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
CvGaussBGModel
- opncv实现高斯混合模型，背景、前景检测-opncv Gaussian mixture model to achieve
背景建模法
- 介绍当前几种比较常见的背景建模方法，例如高斯，码本，均值等
GMM
- 高斯混合滤波建模，基于opencv，用于背景建模，前景检测-Gaussian mixture filter modeling, based on opencv, for background modeling, foreground detection
GMM
- 针对摄像机固定下的复杂背景环境，对采集到的视频图像的图像数据用混合高斯背景建模方法实现前景/背景分割，实现运动目标检测和跟踪。在进行前景检测前，先对背景进行训练，对图像中每个背景采用一个混合高斯模型进行模拟，每个背景的混合高斯的个数可以自适应。然后在测试阶段，对新来的像素进行GMM匹配，如果该像素值能够匹配其中一个高斯，则认为是背景，否则认为是前景。由于整个过程GMM模型在不断更新学习中，所以对动态背景有一定的鲁棒性。最后通过对一个有树枝摇摆的动态背景进行前景检测，取得了较好的效果。-For c
背景差分法检测运动目标
- 背景差分法检测目标，用于背景为静态的，检测目标，背景图像与前景图像相分离(Background subtraction is used to detect targets for static background)
webcode_static background
- 根据代码路径，识别AVI格式视频前景，减除背景(Identify video foreground and background subtraction)
trackingMethodsOnCar
- 目标检测，对包含动态背景信息的监控视频，设计有效的前景目标提取方案。(Target detection, an efficient foreground object extraction scheme is designed for surveillance video with dynamic background information.)
multiObjectTracking
- 在静态背景下，提取运动物体(前景检测）并对其标号(In the static background, the moving object (foreground detection) is extracted and its label is extracted)
FGseg
- 用于视频前景目标提取，包含测试数据，可运行(This package can be used for video foreground target extraction. It includes executable programs and test data files and thus it can be run directly.)
TrafficDetection-master
- 一种综合多种算法的车辆检测和追踪方法，运行时间较长，但效果很棒(We implement a system for vehicle detection and tracking from traffic video using Gaussian mixture models and Bayesian estimation. In particular, the system provides robust foreground segmentation of moving vehicles
背景差分
- 通过背景差分法获取运动目标检测，提取前景目标，转化成二值图(The moving target detection is obtained by the background difference method, and the foreground object is extracted and transformed into a two value graph.)