Abstract
This chapter explores the algorithms of automatically detecting and extracting faces of interest from live video input. It is the first but crucial step for an intelligent, automatic and unsupervised face recognition system. In section 1, the proposals of face detection are briefly overviewed. Imagedbased face detection issues are discussed in section 2, including the choice of detection algorithms, the definition of face region based on the eye distance, and the critical cases of evaluating detection performance. In section 3, temporal-based face detection algorithms are proposed. Through the definition of “search region” and the analysis of temporal change, the motion-based face detector can significantly benefit from the temporal context from video sequences. Summary and future research directions are the final parts of this chapter.
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© 2010 Higher Education Press, Beijing and Springer-Verlag Berlin Heidelberg
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Mou, D. (2010). Combined Face Detection and Tracking Methods. In: Machine-based Intelligent Face Recognition. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00751-4_3
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DOI: https://doi.org/10.1007/978-3-642-00751-4_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-00750-7
Online ISBN: 978-3-642-00751-4