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- 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
frame_diif_complied_goundback_diff
- 使用对称帧差法提取运动模板，后结合背景帧差提取运动目标，二者结合进行逻辑运算，得到最终的运动目标；内部含有一个单独的函数，用于背景重构-Extracted using the symmetric difference motion template frame, combined with the background of the frame difference after the extraction of moving objects, a combination of both log
VideoDemo
- 视频演示算法包括，1. 静态背景下的背景预测法目标检测。 静态背景下帧间差分法目标检测Mean Shift目标跟踪方法 重心多目标跟踪方法。该框架支持的视频只限于RGB非压缩Windows AVI格式，可以通过“文件”菜单下打开视频来打开视频文件。-Video presentation algorithms, including, 1. Static background background prediction target detection. Static background fram
Videoobjectdetectionbasedonbackgroundsubtraction.r
- 利用图像序列的灰度统计特性来提取背景图像，并利用Surendra背景更新算法根据每帧图像对背景进行更新已获得可靠的背景．然后，将当前帧与背景作差，并对差值图像进行适当处理，这样运动目标就能够被精确地提取出来． -Using statistical properties of image sequences to extract the gray background image and background updating algorithm based on the use Surend
approximate_median
- Median filtering has been shown to be very robust and to have performance comparable to higher complexity methods. However, storing and processing many frames of video (as is often required to track slower moving objects) requires an often prohibitiv
frame_difference
- Frame difference is arguably the simplest form of background subtraction. The current frame is simply subtracted from the previous frame, and if the difference in pixel values for a given pixel is greater than a threshold Ts, the pixel is considered
MotionDetectionAlgorithms
- Motion Detection Algorithms There are many approaches for motion detection in a continuous video stream. All of them are based on comparing of the current video frame with one from the previous frames or with something that we ll call background. I
backgroud.cpp
- 本程序 尝试打开本电脑上的摄像头作为视频输入设备，或者将命令行的输入参数作为文件名来打开的视频文件。不管是哪一种方法，最后都是不断的循环处理一帧一帧地处理，涉及到的图像处理有 背景擦除，平滑滤波，二值化等。-The program tries to open the computer input device as a video camera, or command line input parameters as the file name to open the video file. N
MDIFrameBackground
- To get this task done, my first instinct was to catch the WM_ERASEBKGND in CMainFrame and do the FillSolidRect there. But I soon realized that approach didn t do anything other than make the frame flicker and show red only when it s being resized, ot
videoprocessframework
- 目标检测演示框架算法包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 该框架支持的视频只限于RGB非压缩Windows AVI格式，可以通过“文件”菜单下打开视频来打开视频文件。-Presentation framework of the target detection algorithms include: 1. The context of the background s
FreeLinksNetwork
- 免费友情链接网 和上一次公布版本新增设:： 1.更改首页实用工具,网站统计,和网站搜索的排列! 2.后台模版修改管理显示框变大,可以查看更多的代码! 3.修复一些小的错误和清理一些无法显示的网站! 4.特别提醒所有客户，网站上传后一定要修改data下在数据库名(改了数据库名，要改conn.asp和adminmaster/conn.asp和iP/conn.asp)! 5.后台管理地址也建议修改,就是将adminmaster目录改名! 后台管理地址adminm
MoveObjct
- 研究了室内环境下的运动目标的检测技术。讨论了各种目标检测的算法,提出基于室内相对静止背 景下的目标检测算法,利用高斯背景建模方法提取较为理想与“干净”的背景帧,并可进行背景的自适应更 新,然后再利用所得的背景与当前视频帧进行相减,得到视频中运动目标的前景图像,经过平滑去噪处理得 到较为理想的目标检测效果 -Of the indoor environment of moving target detection. Discussed a variety of target dete
ColorEditBox
- 采用VC++开发平台，设置编辑框控件的背景、文本颜色- Uses VC++ to develop the platform, the establishment edition frame controls a background, the text color
houtai_lshr
- 绿色后台模板，适合CMS、HR、OA、CRM开发使用后台管理模板，绿色风格，是一套结构稍微复杂的模板，框架结构(Frame)设计，适合开发各类中小型系统，包含登陆页面和后台管理主页面模板-Green background templates for CMS, HR, OA, CRM developed using admin templates, green style, is a slightly more complicated structure of the template, the
average
- 基于matlab的平均帧背景提取方法并且是基于彩色空间的-Matlab-based extraction method, the average background frame and is based on the color space
MovingObjectDetection
- 从运动背景中检测与跟踪运动目标是计算机视觉研究领域的热点,根据帧差法的基本原理,提出了一种 针对复杂背景的运动目标检测方法 -Background from the motion detection and tracking of moving objects in computer vision research field, according to the basic principle of the frame difference method, a complex backg
CustomCEdit
- 这个类实现了如下功能 字体 背景色 字色 一框多色字 有些BUG 但可为大家提供一个思路 一框多色应用了双缓冲-This class implements the following features: custom font/custom background color/multi-color edit box. There may be BUGs but it can provide you an idea. Multi-color edit box uses double frame b
Video_Demo
- 视频目标检测演示框架,视频演示算法包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 -Framework for object detection video presentation, video presentation algorithms include: 1. Static background of the context of target detection pr
Low-complexity-background-subtraction-using-frame
- Tracking w/ blob detection, morphological operation (Togeather) frames = {avi.cdata} uses the cdata from the video file fg = extractForeground(frames) do foreground extraction cmap = colormap(gray) for i = 1:length(fg) temp0{i} = edg
function2
- Generating an Optical Sensor Image From Simulated Movement Data This scr ipt (aero_pointer_tracker.m) generates a movie with 64 frames and a frame size of 64 by 64 pixels (at 10 frames per second). The movie contains a simulation of a moving t