Title :
A suitability metric for mouth tracking through chromatic segmentation
Author :
Lucey, Simon ; Sridharan, Sridha ; Chandran, Vinod
Author_Institution :
Speech Res. Lab., Queensland Univ. of Technol., Brisbane, Qld., Australia
fDate :
6/23/1905 12:00:00 AM
Abstract :
Recently, the use of chromatic segmentation has come very much into vogue for mouth tracking. Our recent work has endeavored to show under what conditions and representations chromatic segmentation works. Results are presented showing that, for some members of the population, chromatic segmentation does not work satisfactorily, irrespective of recording conditions. A suitability metric is proposed that can give a quantitative measure on how well chromatic mouth tracking will work for a given subject
Keywords :
image classification; image colour analysis; image representation; image segmentation; optical tracking; chromatic representations; chromatic segmentation; classifier design; mouth tracking; quantitative measure; recording conditions; suitability metric; Active shape model; Australia; Cameras; Laboratories; Lips; Mouth; Skin; Speech; Systems engineering and theory; Visual databases;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958100
