Description: 通过摄像头监控路由灯的状态的客户端:通过网络从服务端接受视频数据，并对数据进行处理，将结果直观的显示给客户。图像处理分析的部分采用了opencv。-through surveillance camera lights routing state of the client : network from the server for video data, and data processing, visual results show to clients. Image processing and analysis of the use of opencv. Platform: |
Size: 318464 |
Author:Alan |
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Description: 利用openCV的一些函数计算并更新运动历史图像实现在视频监控中的运动模板检测-OpenCV use some function to calculate and update the movement of history in the video surveillance images to achieve the campaign template detection Platform: |
Size: 422912 |
Author:yyy |
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Description: 这是一个用于人脸跟踪算法，采用OPENCV实现。可广泛应用视频监控等领域。-This is a face tracking algorithm for use OPENCV achieve. Can be widely applied in areas such as video surveillance. Platform: |
Size: 54272 |
Author:李乔 |
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Description: O.Javed and M.Shah. 《Tracking and object classification for automated surveillance》.
这篇英文文献是有关运动目标检测跟踪及其分类的文章。该文利用“人体运动的周期性”，把运动目标分为人、人群、机动车。具有较强的参考价值。-O. Javed and M. Shah. " Tracking and object classification for automated surveillance" . This is about the English literature to track moving target detection and classification of the article. The use of " the cyclical nature of human motion" , the goal of exercise is divided into people, people, motor vehicles. Has a strong reference value. Platform: |
Size: 1049600 |
Author:brk1985 |
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Description: 通过视频监控，对视频流帧处理，自动发现火情并报警。-Through video surveillance, video streaming frame processing, auto-discovery and fire alarm. Platform: |
Size: 3941376 |
Author:一段小说 |
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Description: OPENCV 视频监控系统 能够简单的进行运动目标跟踪-OPENCV video surveillance system can be simple to track moving targets Platform: |
Size: 3581952 |
Author:魏义强 |
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Description: The OpenCV "Video Surveillance" facility, also called "blob tracker" through much of the code, is a simple but practical facility intended to track moving foreground objects against a relatively static background. Conceptually it consists of a three-stage video processing pipeline:
1. A foreground/background discriminator which labels each pixel as either foreground or background.
2. A blob detector which groups adjacent "foreground" pixels into blobs, flood-fill style.
3. A blob tracker which assigns ID numbers to blobs and tracks their motion frame-to-frame. -The OpenCV "Video Surveillance" facility, also called "blob tracker" through much of the code, is a simple but practical facility intended to track moving foreground objects against a relatively static background. Conceptually it consists of a three-stage video processing pipeline:
1. A foreground/background discriminator which labels each pixel as either foreground or background.
2. A blob detector which groups adjacent "foreground" pixels into blobs, flood-fill style.
3. A blob tracker which assigns ID numbers to blobs and tracks their motion frame-to-frame. Platform: |
Size: 6922240 |
Author:dams |
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Description: 本程序是通过OPENCV实现采集一个摄像头视频信息，主要采用了DirectShow等函数来实现，可用于视频监控等着的前期视频采集工作，希望对您有所帮助！-This procedure is achieved by collecting OPENCV a video camera, the main use of DirectShow and other functions to achieve, can be used for video surveillance video capture waiting for the preliminary work, I hope for your help! Platform: |
Size: 4579328 |
Author:韩松卫 |
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Description: 本程序用OPENCV实现两个摄像头视频信息同时采集，主要运用DirectShow及CameraDS来实现的。本程序主要用于视频监控等工作的前期视频采集工作！希望对大家的视频处理有帮助-The procedure used to achieve two OPENCV video cameras capture the same time, the main use of DirectShow and CameraDS to achieve. This procedure is mainly used for video surveillance and other preliminary work for the video capture to work! Hope everyone' s video processing to help! ! ! Platform: |
Size: 5767168 |
Author:韩松卫 |
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Description: 这是一个基于MFC对话框的OpenCV视频播放，基本功能都有，能有所参考-This is a dialog based MFC OpenCV video, basic functions are, to some reference Platform: |
Size: 339968 |
Author:Panda |
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Description: 计算机视觉是研究用计算机模拟生物外显或宏观视觉功能的科学和技术。作
为计算机视觉研究的一个分支—运动目标的检测与跟踪，就是对视场内的运动目
标，如人或车辆等，进行实时的观测，并在此基础上对被观测对象进行分类，然
后分析它们的行为。近年来，计算机视觉的研究重点已经从对静态图像的研究过
渡到对动态图像序列的研究上面，这方面的典型应用包括自动化的视频监控系
统、视频MPEG编解码技术、人机交互的感知接口、军事上的制导、雷达视频
图像中的目标分析。 -Computer vision research using computer simulations of biological explicit visual function or macro science and technology. As a branch of computer vision research- moving target detection and tracking, that is, within the field of view of the moving target, such as a person or vehicle, real-time observation and classification based on the object being observed, and then analyze them behavior. In recent years, computer vision research focus has been the transition from a static image of the dynamic image sequences above, typical applications include automated video surveillance systems, video MPEG codec technology, the perception of the human-computer interaction interface, military guidance, radar target video image analysis. Platform: |
Size: 5890048 |
Author:土豆 |
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Description: 使用opencv实现视频监控，使用本地摄像头，通过opencv图像处理技术简洁方便实现视频监控及视频图像的美化-Opencv video surveillance, using local camera opencv image processing technology is simple and convenient video surveillance and video images beautification Platform: |
Size: 61440 |
Author: 李剑 |
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Description: 在window下利用OPencv来实现QT的视频监控，也可以利用这个代码进行采集图片，处理等后续工作-In the window to achieve the use of OPencv QT video surveillance, you can also use this code capture image processing and other follow-up work Platform: |
Size: 3072 |
Author:刘海桥 |
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Description: 利用opencv进行视频前景的提取，开发的视频监控程序(The use of OpenCV video foreground extraction, the development of video surveillance procedures.) Platform: |
Size: 2048 |
Author:Demon_dong
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Description: 该资料中包含了《OpenCV By Example》中文版以及例程程序，该书的目录如下所示：
第1章 OpenCV的探险之旅;
第2章 OpenCV基础知识介绍;
第3章 图形用户界面和基本滤波;
第4章 深入研究直方图和滤波器;
第5章 自动光学检测、目标分割和检测;
第6章 学习目标分类;
第7章 识别人脸部分并覆盖面具;
第8章 视频监控、背景建模和形态学操作;
第9章 学习对象跟踪;
第10章 文本识别中的分割算法;
第11章 使用Tesseract识别文本;(The archive contains the Chinese version of "OpenCV By Example" and the example program. The contents of this book are as follows:
Chapter 1 An expedition to OpenCV;
Chapter 2 OpenCV basic knowledge introduction;
Chapter 3 Graphical user interface and basic filtering;
Chapter 4 In-depth study of histogram and filter;
Chapter 5 Automatic optical detection, object segmentation and detection;
Chapter 6 Learning object classification;
Chapter 7 Identify the face part and cover the mask.
Chapter 8 Video surveillance, background modeling and morphological operation.
Chapter 9 Learning object tracking;
Chapter 10 The segmentation algorithm in text recognition;
Chapter 11 Using Tesseract to identify the text;) Platform: |
Size: 66423808 |
Author:flypig1994 |
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Search - opencv video surveillance