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Robust Face Detection and Tracking Using Pyramidal Lucas Kanade Tracker Algorithm

Keywords: Face detection , face tracking , optical flow method , Pyramidal lucas kanade algorithm

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Abstract:

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, Haar based algorithm is used. On the face image, Shi and Thomasi algorithm is used to extract feature points and Pyramidal Lucas-Kanade algorithm is used to track those detected features. Results on the real time indicate that the proposed algorithm can accurately extract facial features points. The algorithm is applied on the real time camera input and under real time environmental conditions.

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