期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：4
页码：7888
DOI：10.15680/IJIRCCE.2017.05040245
出版社：S&S Publications
摘要：In this paper, we present face detection and tracking algorithm in real time camera input environment.The entire face tracking algorithm is divided into two modules. The first module is face detection and second is facetracking. To detect the face in the image, Haar based algorithm is used. On the face image, Shi and Tomasi algorithm isused to extract feature points and Pyramidal Lucas-Kanade algorithm is used to track those detected features. Results onthe real time indicate that the proposed algorithm can accurately extract facial features points. The algorithm is appliedon the real time camera input and under real time environmental conditions.
关键词：Face detection; face tracking; optical flow method; and Pyramidal Lucas kanade algorithm
