Research of Face Detection Based on Adaboost Algorithm and OpenCV Implementation
Wang Qiu-guang · Harbin Ligong Daxue xuebao · 2009
To solve the problem that the face detector is slow and its rate is low in complicated background,in this paper,we choose a face detector algorithm based on statistics.The principle and training flow of Adaboost face detector is detailedly introduced.The module combine imaging processing software OpenCV and Adaboost face detector algorithm is used to select extended Haar characteristics,then the face detector is realized and the result is given.62 faces is undetected when detector designed for 592 individuals face,and it can reatch about 20 frame/s.Therefore the method of more accuracy and real time.