搜索资源列表
Monitor.rar
- 自己写的vc 读取YUV视频信号 进行帧差法进行目标跟踪 ，高斯背景模型提取，,Vc wrote it myself to read YUV video signal frame-difference method for target tracking, Gaussian background model extraction,
matlab视频提取背景
- matlab视频提取背景，帧差分法提取背景源程序
yudong
- 运动目标识别，采用背景差分方法。背景图像由均值法获得。里面的视频换成前几帧换成纯背景效果能更好一点-Moving target identification, using the background difference method. Background image obtained from the mean. Which replaced the previous video frame replaced by pure background a little better resul
VideoDemo
- 图象处理,背景差分,VC++ MFC 背景差分、连续帧差、MeanShift目标跟踪 代码 -Image processing, the background differential
yundongfenge1
- 视频运动目标的运动分割，基于帧差和背景减。学术论文。-Video moving target motion segmentation, based on frame difference and background reduction. Xueshulunwen.
yundongfenge2
- 视频运动目标的运动分割，基于帧差和背景减。学术论文。-Video moving target motion segmentation, based on frame difference and background reduction. Xueshulunwen.
yundongfenge5
- 视频运动目标的运动分割，基于帧差和背景减。学术论文。-Video moving target motion segmentation, based on frame difference and background reduction. Xueshulunwen.
frame_difference
- 视频帧差算法实现的背景减除。matlab代码。-Video frame difference algorithm of background subtraction. matlab code.
lianxushipinfengeyucaiji
- 用matlab实现连续视频的分割与采集，其中用读视频指令把连续的视频转化为一帧一帧的图像，用帧间差分法和背景差分法实现-Matlab for continuous video with the segmentation and the acquisition, including video instruction with the reading of the continuous video into a frame of an image, with the frames and the
back
- 采用帧差判别有无运动物体，以决定是否进行背景更新-Determine whether the use of frame-difference moving object, to determine whether the background update
yundongjiance
- 运动视频的背景建模与运动物体的检测，包含混合高斯模型和帧差法检测运动物体。使用opencv编写-failed to translate
frame_difference
- 背景提取代码，利用帧差分发提取视频背景,测试视频以avi格式为佳-frame diffrence
MovingDetect_frame_diff
- 利用帧差法从背景图像中提前前景图像的一种经典算法-Frame-difference method using the background image from the foreground image in advance of a classical algorithm
moving-object-detection-method-
- 针对视频监控系统的运动目标检测部分,介绍了以OpenCV为平台,以背景减法与帧差法为基础的检测方法。它以背景减法建立和更新背景模型,利用感兴趣区域的设置提高实时性,引入修正的大津法自适应阈值改善二值化效果,并以帧差法为补充降低虚报率及光照变化的影响。实验表明,该方法可以快速有效地对运动目标实施报警。-OpenCV-based moving object detection method and application of some of the articles I read, I feel
帧间差分+码书+MOG+贝叶斯
- 用四种方法进行背景建模运动检测，是基于c++的哦，别下错了，
vidio object detection
- 用帧差法提取视频中的运动目标（静态背景）(Extracting moving objects in video by frame difference method)
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.)
多目标跟踪opencv
- 先用背景差分完成目标提取，将运动目标的相关信息放入到链表中，通过帧差完成对多目标的跟踪，达到实时性的要求 运动目标的相关信息存放于结构体中，可以在此基础上判断目标的动作行为跟踪基本框架，opencv编写，利用背景差分，质心法可以跟踪多个目标，并分配ID号，记录行动轨迹，可用于车辆道路等，大家可以参考学习下，效果有待改进，不同的视频会有不同的效果。(The relevant information of the moving object is stored in the structure.
Frame difference-based foreground extraction
- 基于帧差分法的视频前景提取，在matlab环境中运行，速度快，静态背景下效果好(Video foreground extraction based on frame difference method)
FrameDifference
- 可以跟踪视屏对象，用了三帧差分法、背景差分法来辨别图片中的运动物体，包含了报告和算法说明(Visual screen objects can be tracked)