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vc++视频开发实例集锦，包括“远程视频监控”\"语音识别系统\"等13个经典例子。是VC++源码。-vc Video Collection development example, "Remote Video Surveillance", "Speech Recognition System" 13 classic examples. VC is the source.
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这是《Visual C++视频/音频开发实用工程案例精选》一书的源代码。精选了大量的具有商用价值的工程案例，包括视频捕捉系统、视频会议系统和远程视频监控系统的开发技术；网络、多媒体技术的底层实现；MP3深入编程技术等。最后一章为基于IBM ViaVoice的语音识别系统在上位机和下位机之间的通信的架构及实现。-This is the "Visual C video / audio develop practical projects selected cases," a bo
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Face recognition is a popular industry video surveillance technology, the use of biometric identification information and thus achieve the purpose of identity,Face recognition is a popular industry video surveillance technology, the use of biometric
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图像识别在大楼安防中的应用例子，基于运动物体检测技术的摄像监控检测。-Image recognition applications in building security in the example of object detection based on motion detection technology for video surveillance.
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VisualC++6.0音频与视频例子--视频捕捉系统，语音识别系统，视频会议系统，远程视频监控系统等-VisualC++ 6.0 audio and video example- video capture system, voice recognition systems, video conferencing systems, remote video surveillance systems, etc.
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采用SSE优化，基于C++写的人脸识别程序,可应用于视频监控系统中。-Using SSE optimization, based on the C++ Write the face recognition process can be applied to video surveillance systems.
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两篇人脸检测的英文论文，是花钱买的哦，英文描述中是一篇文章的英文摘要！-Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance,
face tracking, and face recognition. Efficient face and facial feature det
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vc++视频开发实例集锦，包括“远程视频监控”_语音识别系统_等13个经典例子-vc++ Video Collection of the development of examples, including the " remote video surveillance" _ _, such as speech recognition system 13 classic examples of
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人脸识别因其在安全验证系统、信用卡验证、医学、档案管理、视频会
议、人机交互、系统公安(罪犯识别等)等方面的巨大应用前景而越来越成为
当前模式识别和人工智能领域的一个研究热点。
本文提出了基于24位彩色图像对人脸进行识别的方法，介绍的主要内容是图像处理，它在整个软件中占有极其重要的地位，图像处理的好坏直接影响着定位和识别的准确率。本软件主要用到的图像处理技术是：光线补偿、高斯平滑和二值化。在识别前，先对图像进行补光处理，再通过肤色获得可能的脸部区域，最后根据人脸固有眼睛的对称性来确
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運動識別
在摄像机监视的场景范围内，对出现的运动目标进行检测、分类及轨迹追踪，可应用于各种监控目的，如周界警戒及入侵检测、绊线检测、非法停车车辆检测等。-Movement Recognition ' scene in the scope of surveillance cameras, the emergence of the moving target detection, classification and tracking, monitoring can be applied
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视频监控程序，用于静态背景下目标识别监控和跟踪-Video surveillance program for monitoring the static context of target recognition and tracking
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c#视频监控全部源代码，用到的数据库是access数据库。-c# video surveillance all the source code, used in the database is access the database.
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Speaker recognition is the task of validating individual s identity using invariant features extracted from their voices print. Speaker recognition technology common applications include authentication, surveillance and forensic applications. This Pa
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智能监控系统运动目标识别程序，能顺利运行。-Moving Object Recognition Intelligent Surveillance System program, run smoothly.
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智能视频监控中异常行为识别技术研究，CNKI论文，是一篇硕士毕业论文-Intelligent video surveillance technology in the identification of abnormal behavior, CNKI papers, is a Master' s Thesis
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Since the time I’ve wrote my first article about motion detection, I’ve got a lot of e-mails from different people around the world, who found the article quite useful and found a lot of applications of the code in many different areas. Those areas i
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该代码用于实现视频监控/视觉监控/视频智能监控/视觉智能监控，具有友好的人机交互界面。在工作时，利用连接在计算机上的摄像头取得视频图像，通过背景减除、滤波、二值化处理、识别等技术，实现对视频目标的监控。-This code is applied to visual surveillance/video surveillance/visual intelligent surveillance/video intelligent surveillance which has a friendly h
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Abstract—Numerous methods have been developed for holistic face recognition with impressive performance. However, few studies
have tackled how to recognize an arbitrary patch of a face image. Partial faces frequently appear in unconstrained scenari
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Face recognition has been one of the most interesting and important research fields in the past two decades. The reasons come the need of automatic recognitions and surveillance systems, the interest in human visual system on face recognition, and th
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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Tessera
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