Facial feature detection for in-car environment

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 (Unpublished)

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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.

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ID Code: 30964
Item Type: Conference Paper
Refereed: No
Keywords: Face and facial features, False alarm rate, AVICAR database, Viola-Jones algorithm
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2009 [please consult the authors].
Deposited On: 15 Feb 2010 02:45
Last Modified: 09 Jun 2010 14:22

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