Visual front-end wars : Viola-Jones face detector vs Fourier Lucas-Kanade
Contribuinte(s) |
Denis , Burnham Jonas , Beskow |
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Data(s) |
2013
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Resumo |
The performance of visual speech recognition (VSR) systems are significantly influenced by the accuracy of the visual front-end. The current state-of-the-art VSR systems use off-the-shelf face detectors such as Viola- Jones (VJ) which has limited reliability for changes in illumination and head poses. For a VSR system to perform well under these conditions, an accurate visual front end is required. This is an important problem to be solved in many practical implementations of audio visual speech recognition systems, for example in automotive environments for an efficient human-vehicle computer interface. In this paper, we re-examine the current state-of-the-art VSR by comparing off-the-shelf face detectors with the recently developed Fourier Lucas-Kanade (FLK) image alignment technique. A variety of image alignment and visual speech recognition experiments are performed on a clean dataset as well as with a challenging automotive audio-visual speech dataset. Our results indicate that the FLK image alignment technique can significantly outperform off-the shelf face detectors, but requires frequent fine-tuning. |
Formato |
application/pdf |
Identificador | |
Relação |
http://eprints.qut.edu.au/62749/1/IS12_paper_template.pdf Kalantari, Shahram, Navarathna, Rajitha, Dean, David B., & Sridharan, Sridha (2013) Visual front-end wars : Viola-Jones face detector vs Fourier Lucas-Kanade. In Denis , Burnham & Jonas , Beskow (Eds.) International Conference on Auditory Visual Speech Processing 2013, 29 August - 1 September 2013, Ternélia resort Le Pré du Lac, Annecy, France. |
Direitos |
Copyright 2013 [please consult the author] |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #080000 INFORMATION AND COMPUTING SCIENCES #Visual Front-ends #Viola-Jones #Fourier Lucas-Kanade #Visual Speech Recognition |
Tipo |
Conference Paper |