Facial feature detection for in-car environment
Data(s) |
2009
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Resumo |
Acoustically, vehicles are extremely noisy environments and as a consequence audio-only in-car voice recognition systems perform very poorly. Seeing that the visual modality is immune to acoustic noise, using the visual lip information from the driver is seen as a viable strategy in circumventing this problem. However, implementing such an approach requires a system being able to accurately locate and track the driver’s face and facial features in real-time. In this paper we present such an approach using the Viola-Jones algorithm. Using this system, we present our results which show that using the Viola-Jones approach is a suitable method of locating and tracking the driver’s lips despite the visual variability of illumination and head pose. |
Formato |
application/pdf |
Identificador | |
Relação |
http://eprints.qut.edu.au/30964/1/30964.pdf http://www.bee.qut.edu.au/research/themes/smartsystems/events/ Navarathna, Rajitha & Lucey, Patrick J. (2009) Facial feature detection for in-car environment. In 3rd Biennial Smart Systems Student Conference, 16 October 2009, Brisbane, Queensland. (Unpublished) |
Direitos |
Copyright 2009 [please consult the authors]. |
Fonte |
Faculty of Built Environment and Engineering; Information Security Institute; School of Engineering Systems |
Palavras-Chave | #Face and facial features #False alarm rate #AVICAR database #Viola-Jones algorithm |
Tipo |
Conference Paper |