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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kalman滤波和人脸形态约束的人脸跟踪算法实现，可在快速人脸跟踪的同时很好的去除类肤色的干扰，注意是基于OpenCV函数库的程序。-Based on kalman filtering and face shape Face Tracking bound algorithm may face in the fast track at the same time remove the category of very good color interference, the attention
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用visual c++开发的人脸检测示例程序，实现人脸定位与跟踪-Using visual c++ Developed examples of face detection process, the realization of Face Locating and Tracking
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在广泛研究前人工作的基础上，本文对运动人物的检测、跟踪与识别进行了综述。为
使分类清楚明了，本文将人物运动分析分为两大类：人体运动分析，人脸分析。人体运动分
析包括人的较大幅度的肢体运动，如手势识别、步态分析、整个人体的运动分析；人脸分析
包括人脸检测与识别、表情分析。在详细介绍了国内外研究现状后，提出了存在的问题及研
究前景。-Extensively studied in previous work on the basis of the figures in this art
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VC与opencv环境下人脸角点检测与运动跟踪-VC environment with the opencv Human Face detection and motion tracking Corner
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人脸识别技术可以应用于基于网络的身份认证，我们实现了基于WebCam的人脸识别与跟踪系统。本文以WebCam采集的视频流为数据源，截取视频流中的单帧图像，通过转换彩色空间、人脸肤色建模、后处理操作和人脸定位算法实现了人脸检测，并以此为基础实现了在视频流中对于人脸的跟踪。试验结果表明，我们所实现的人脸识别算法适用于近距离人脸的检测，可以应用于基于WebCam的身份认证。 -Face recognition can be applied to identity authentication on I
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运用VC软件做的一个基于OPENCV的人脸识别系统，在检测人脸的基础上能对人眼和嘴巴进行识别。-Use the software to do a VC OPENCV based face recognition system, based on face detection can identify the eyes and mouth.
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人脸检测，并采用meanshift进行跟踪-Face detection and tracking using meanshift
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supplies
cross-platform libraries for real-time perception primitives, including face detection,
eye detection, blink detection, color tracking. Soon it will also include expression
recognition, predictive color tracking, and tracking based on
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VC环境下实现人脸检测与跟踪 功能完善 速度较快-Face VC environment to achieve improved detection and tracking speed
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空时互反馈Space-time feedback 人脸检测与跟踪系统的算法-Space-time feedback on each other face detection and tracking system and implementation of the algorithm
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Robust Real-Time Eye Detection and
Tracking Under Variable Lighting Conditions
and Various Face Orientations
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this adaboost based real time face detection and tracking system
i used a adaboost and camshift algorithm with opencv and vc++
The detεction efficiency of the method is not good for environment of dynanlic illumination. We propose a combined meth
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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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基于adaboost和mean-shift视频中的人脸检测与跟踪识别-face detection and tracking recognition
of videoBased on adaboost and mean-shift
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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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本文以WebCam采集的视频流为数据源，截取视频流中的单帧图像，通过转换彩色空间、人脸肤色建模、后处理操作和人脸定位算法实现了人脸检测，并以此为基础实现了在视频流中对于人脸的跟踪。试验结果表明，我们所实现的人脸识别算法适用于近距离人脸的检测，可以应用于基于WebCam的身份认证。-WebCam collection of streaming video as a data source, single image in the interception of the video stream,
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本文运用haar特征分类，对人脸进行动态的检测和跟踪，经过试验对比可以发现效果很好，识别率较高-This paper uses haar feature classification, human face detection and tracking of dynamic, contrast can be found through the test with good results, the recognition rate is higher
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基于视频图像的人脸检测与跟踪方法研究，适合图像处理方向学习使用-Research on human face detection and tracking based on video image
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Basic face detection and tracking system
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