Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Detection and Tracking of Facial Features in Video Sequences

Author : B. Sandhya 1 V. Sri Lakshmi Priyanka 2 CH. Kavya 3

Date of Publication :7th March 2017

Abstract: 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 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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