基于OpenCV的人臉檢測系統(tǒng)

摘 要
人臉檢測技術(shù)已經(jīng)廣泛引起關(guān)注，由于其巨大的應(yīng)用價值和市場潛在的，如人臉識別、視頻監(jiān)控系統(tǒng)。實時人臉檢測不僅是人臉自動識別系統(tǒng)的一部分，而且針對它也正在開發(fā)一個獨立的研究課題。因此，有許多方法為了解決人臉檢測。這里展示的是改進的基于OpenCV的AdaBoost算法，并給出了通過定時器和雙線程兩種方法的實時人臉檢測實驗研究。結(jié)果表明，該方法人臉檢測與雙線程是更簡單，更流暢和更精確的
關(guān)鍵詞：人臉檢測，AdaBoost算法，OpenCV，定時器，雙線程

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