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 (Unpublished)

View at publisher

Abstract

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.

Impact and interest:

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

222 since deposited on 15 Feb 2010
5 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

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

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page