Abstract
This paper describes a face detection system conceived to process video streams in real-time. Cue combination allows the system to tackle the temporal restrictions achieving a notable detection rate. The system developed is able to detect simultaneously at different resolutions multiple individuals building a feature based model for each detected face.
Work partially funded by research projects Univ. of Las Palmas de Gran Canaria UNI2003/06, UNI2004/10 and UNI2004/25, Canary Islands Autonomous Government PI2003/160 and PI2003/165 and the Spanish Ministry of Education and Science and FEDER funds (TIN2004-07087).
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Castrillón-Santana, M., Déniz-Suárez, O., Guerra-Artal, C., Isern-González, J. (2005). Cue Combination for Robust Real-Time Multiple Face Detection at Different Resolutions. In: Moreno Díaz, R., Pichler, F., Quesada Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2005. EUROCAST 2005. Lecture Notes in Computer Science, vol 3643. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11556985_52
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DOI: https://doi.org/10.1007/11556985_52
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