Abstract
This paper describes an approach for detection of frontal faces in real time (20–35Hz) for further processing. This approach makes use of a combination of previous detection tracking and color for selecting interest areas. On those areas, later facial features such as eyes, nose and mouth are searched based on geometric tests, appearance verification, temporal and spatial coherence. The system makes use of very simple techniques applied in a cascade approach, combined and coordinated with temporal information for improving performance. This module is a component of a complete system designed for detection, tracking and identification of individuals [1].
Work partially funded by Spanish Government and EU Project 1FD97-1580-C02-02 and Canary Islands Autonomous Government PI2000/048 research projects
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Santana, M.C., Navarro, J.L., Gámez, J.C., Tejera, F.M.H., Rodríguez, J.M. (2002). Detection of Frontal Faces in Video Streams. In: Tistarelli, M., Bigun, J., Jain, A.K. (eds) Biometric Authentication. BioAW 2002. Lecture Notes in Computer Science, vol 2359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47917-1_10
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