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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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一个自己写的利用MFC来实现OPENCV中函数的
小程序。把OPENCV中人脸检测与camshift跟踪算法加了进去。编译之间要先配置好OPENCV 安装好摄像头就可以使用了。-one's own use of MFC to achieve OPENCV Function of small procedures. OPENCV put human face detection and tracking algorithm camshift increase of nationalis
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如何从静态图片或者视频序列中找出人脸的人脸检测与跟踪源码.-how static pictures or video sequences to identify people for Face detection and tracking source.
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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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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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This file helps identify the presence of a human face, hand or any other body part by identifying and marking skin-like pixels within a given image. With further image processing techniques, the output produced by this scr ipt can be refined and proc
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Robust Real-Time Eye Detection and
Tracking Under Variable Lighting Conditions
and Various Face Orientations
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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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基于嵌入式Linux的便携式自动人脸检测与跟踪系统的应用研究.pdf-Portable automatic face detection and tracking system embedded Linux-based applications
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face detection using matlab
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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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REAL-TIME FACE DETECTION AND TRACKING
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人脸检测与跟踪是一个重要而活跃的研究领域,它在视频监控、生物特征识别、视频编码等领域有着广泛的应用前景。该项目的目标是在FPGA板上实现实时系统来检测和跟踪人脸。人脸检测算法包括肤色分割和图像滤波。通过计算被检测区域的质心来确定人脸的位置。该算法的软件版本独立实现,并在matlab的静止图像上进行测试。虽然从MATLAB到Verilog的转换没有预期的那样顺利,实验结果证明了实时系统的准确性和有效性,甚至在不同的光线、面部姿态和肤色的条件下也是如此。所有硬件实现的计算都是以最小的计算量实时完成的
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Basic face detection and tracking system
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