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Title: Face Detection and Tracking using Adaboost Method


Face Detection and Tracking using Adaboost Method
Author Name:
Priyanka Kulkarni, Vijay D. Chaudhari and Kantilal P. Rane
Face detection & tracking is concerned with finding whether or not there are any faces in a given image and, if present, return the image location and content of each face. Recently, Adaboost has been widely used to improve the accuracy of any given learning algorithm. In this paper we focus on designing an algorithm of Adaboost. In this paper, we present a 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 face tracking.To detect the face in the image we use adaboost algorithm with classifier. Once face is detect it is traced by laser beam. The algorithm is applied on real time camera image.