Real Time Facial Feature Points Tracking with Pyramidal Lucas-Kanade Algorithm | IEEE Conference Publication | IEEE Xplore

Real Time Facial Feature Points Tracking with Pyramidal Lucas-Kanade Algorithm


Abstract:

In this paper, we present a detection and tracking feature points algorithm in real time camera input environment. To trace and extract a face image, we use a modified fa...Show More

Abstract:

In this paper, we present a detection and tracking feature points algorithm in real time camera input environment. To trace and extract a face image, we use a modified face detector based on the Haar-like features. For feature points detection, we use good features to track of Shi and Thomasi. In order to track the facial feature points, pyramidal Lucas-Kanade feature tracker algorithm is used. Results on the real time indicate that the proposed algorithm can accurately extract facial features points.
Date of Conference: 01-03 August 2008
Date Added to IEEE Xplore: 15 August 2008
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Conference Location: Munich, Germany

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