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Title: Region of Interest Extraction using Colour Based Methods on the CUAVE Database
Other Titles: IET Irish Signals and Systems Conference ISSC
Sponsor: Irish Research Council for Science Engineering and Technology
Author's Homepage:
Keywords: Audio Visual Speech Recognition, Region of Interest, Colour Based Segmen- tation, CUAVE database.
Issue Date: 2009
Citation: Craig Berry, Naomi Harte, Region of Interest Extraction using Colour Based Methods on the CUAVE Database, IET Irish Signals and Systems Conference ISSC, Dublin, 10-12 June, 2009
Abstract: Region of interest (ROI) extraction is an important step in deriving vi- sual features for an audio-visual speech recognition system. Colour based segmentation o ers the potential of computationally inexpensive algorithms for ROI selection. This paper presents a comparative study of two colour based techniques, one using hue and accumulated di erence, the other chrominance. Results are presented for the CUAVE database. The two methods achieved 69% and 72% correct ROI extraction. The exper- iment prompted investigation of a new method using a chrominance based accumulated di erence image. The new method achieved 79% correct ROI identi cation. The overall results suggest that a dual approach using chrominance to locate the mouth region and only employing an accumulated di erence image when signi cant motion is not present would o er good robustness with lower computational cost.
Description: PUBLISHED
Appears in Collections:Electronic & Electrical Eng (Scholarly Publications)

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