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Abstract: Effective data processing is required with the fast development of multimedia technology. Compressed-domain images/video processing techniques have captured the attention of many researchers in recent years, and research on face detection a
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基于adaboost的构造的cascade用于快速检测人脸，能够实时检测视频中的人脸。没有采用opencv的代码。-Adaboost based on the structure of the cascade for the rapid detection of human faces, real-time video can face. Did not use the code opencv.
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本程序可以进行视频的动态提取背景，使用的是高斯模型使用前请配置好opencv环境。希望对大家学习人脸检测有所帮助-This procedure can extract the dynamic video background, using a Gaussian model configured before use opencv environment. We would like to learn helpful Face Detection ...
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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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matlab 中 基于avi视频的人脸检测-avi video matlab-based Face Detection
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视频搜索中人脸识别关键技术的研究与实现。本文对人脸检测与识别技术进行了研究，实现了一个用于视频搜
索的自动人脸识别系统。该系统对输入的视频帧进行人脸检测和定
位，经过图像预处理之后，进行重要特征点Gabor一Fisher的特征提取
和分类识别。-Video search, face recognition and implementation of key technologies. In this paper, face detection and recognition tech
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都是用matlab写的，复制到txt上了
（1）基于简单背景的人脸监测，针对视频，效果还不错，传的是txt，大家新建一个M文件，复制，然后把视频名与程序中的改成一致就可以了。
（2）对多椭圆的检测，非实际图像，无噪声，就是简单的椭圆，使用同上。-Are written with matlab, copy to the txt on the (1) human face based on a simple background monitoring, for video, the resu
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基于视频的人脸识别研究进展-Video-based Face Recognition Research
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OpenCv face detection mouvement in a video
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对输入的图像或者视频进行人脸检测，例如检测的是一个人的照片那么程序运行结果则会对照片上的人的脸部圈划出来-Of the input image or video detection, such as testing a person' s photograph will then run the results on the person' s face on the photo circle marked out
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本程序可对输入的图像或者视频进行人脸检测，-This program can be the input image or video detection,
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The project tends to detect and track human face in a video via some basic algorithms. It uses adaboost for detection and camshift for tracking. It works well in stable environment.
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Face detection algorithms are widely used in computer vision as they provide fast and reliable results depending on the application
domain. A multi view approach is here presented to detect frontal and profile pose of people face using Histogram of
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基于AdaBoost和mean-shift视频中的人脸检测与跟踪识别-Based on AdaBoost and mean-shift video of face detection and tracking recognition
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调用视频实现人脸识别。基于haarcascades+adaboost算法使用opencv实现-Call the video face recognition. Use opencv achieve haarcascades+adaboost algorithm
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基于视频流下的人脸检测，能够很好地实现实时检测的效果。利用OpenCV的haarcascade_frontalface_alt.xml实现。-Video-based Face Detection shed people, can achieve a good effect of real-time detection. The haarcascade_frontalface_alt.xml achieved using OpenCV.
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Code to detect face in live webcam video, this code will detect if human face exists in the live webcam video and if face it detected then it will draw a box around the face
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Based on the WebCam video capture+face detection and recognition software source code
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Real time Face Detection/motion detection in Matlab
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这是一个基于opencv的人脸检测代码，可以在视频上检测到人脸(This is a opencv based face detection code, you can detect the face in the video)
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