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Title: Face detection and tracking at different angles in video using optical flow
Authors: Divya George, Arunkant A Jose
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2015
Volume: 10
Issue: 17
Language: English
Face detection and tracking algorithm in real time camera input surroundings is discussed in this paper. Human Face Recognition systems are an identification process in which a person is verified based on human characters. The method described in this paper is very fast with accurate result. The entire face tracking algorithm is allocated into two section. The first section is face detection and second is face tracking. Haar based algorithm is used to detect the face in the image. On the face image to extract feature points, Shi and Thomasi algorithm is used and Pyramidal Lucas-Kanade algorithm is used to track those sensed features. Results on the real time indicate that the proposed algorithm can precisely extract facial features points.
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