基于opencv的人脸检测系统外文及中文翻译.doc
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基于opencv的人脸检测系统外文及中文翻译,基于opencv的人脸检测系统摘 要人脸检测技术已经广泛引起关注，由于其巨大的应用价值和市场潜在的，如人脸识别、视频监控系统。实时人脸检测不仅是人脸自动识别系统的一部分，而且针对它也正在开发一个独立的研究课题。因此，有许多方法为了解决人脸检测。这里展示的是改进的基于opencv的adaboost算法，并给出了通过定时器...
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基于OpenCV的人脸检测系统
摘 要
人脸检测技术已经广泛引起关注，由于其巨大的应用价值和市场潜在的，如人脸识别、视频监控系统。实时人脸检测不仅是人脸自动识别系统的一部分，而且针对它也正在开发一个独立的研究课题。因此，有许多方法为了解决人脸检测。这里展示的是改进的基于OpenCV的AdaBoost算法，并给出了通过定时器和双线程两种方法的实时人脸检测实验研究。结果表明，该方法人脸检测与双线程是更简单，更流畅和更精确的
关键词：人脸检测，AdaBoost算法，OpenCV，定时器，双线程
The System of Face Detection Based on OpenCV
Abstract
Face detection technology has widely attracted attention due to its enormous application value and market potential, such as face recognition and video surveillance system. Real-time face detection not only is one part of the automatic face recognition system but also is developing an independent research subject. So, there are many approaches to solve face detection. Here the modified AdaBoost algorithm based on OpenCV is presented, and experiments of real-time face detecting are also given through two methods of timer and dual-thread. The result shows that the method of face detection with dual-thread is simpler, smoother and more precise.
Keywords: Face detection, AdaBoost algorithm, OpenCV, Timer, Dual-thread
摘 要
人脸检测技术已经广泛引起关注，由于其巨大的应用价值和市场潜在的，如人脸识别、视频监控系统。实时人脸检测不仅是人脸自动识别系统的一部分，而且针对它也正在开发一个独立的研究课题。因此，有许多方法为了解决人脸检测。这里展示的是改进的基于OpenCV的AdaBoost算法，并给出了通过定时器和双线程两种方法的实时人脸检测实验研究。结果表明，该方法人脸检测与双线程是更简单，更流畅和更精确的
关键词：人脸检测，AdaBoost算法，OpenCV，定时器，双线程
The System of Face Detection Based on OpenCV
Abstract
Face detection technology has widely attracted attention due to its enormous application value and market potential, such as face recognition and video surveillance system. Real-time face detection not only is one part of the automatic face recognition system but also is developing an independent research subject. So, there are many approaches to solve face detection. Here the modified AdaBoost algorithm based on OpenCV is presented, and experiments of real-time face detecting are also given through two methods of timer and dual-thread. The result shows that the method of face detection with dual-thread is simpler, smoother and more precise.
Keywords: Face detection, AdaBoost algorithm, OpenCV, Timer, Dual-thread
