Abstract
In this paper, we present a face tracking and detection algorithm in real time camera input environment. To trace and extract a face image in complicated background and various illuminating conditions, we used pyramidal Lucas-Kanade feature tracker. Also we used KLT algorithm, which has robustness for rotated facial image, to extract the distinguishing feature of face area. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Kim, K. S., Jang, D. S., & Choi, H. I. (2007). Real time face tracking with pyramidal Lucas-Kanade feature tracker. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4705 LNCS, pp. 1074–1082). Springer Verlag. https://doi.org/10.1007/978-3-540-74472-6_89
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