DocumentCode :
3616083
Title :
Robust face tracking using color segmentation aided with connected components labeling and morphology
Author :
T. Kabakli;T. Celik;H. Demirel;H. Ozkaramanli;M. Uyguroglu;A.M. Kondoz
Author_Institution :
Dogu Akdeniz Universitesi, Turkey
fYear :
2004
fDate :
6/26/1905 12:00:00 AM
Firstpage :
442
Lastpage :
445
Abstract :
Based on a combination of color segmentation, connected components labeling and morphology, an algorithm for human face tracking and facial feature based head tilt angle extraction is developed. The method uses the HSI space for color segmentation, since, in this space, the dynamic range of skin color is quite narrow, thus enabling the differentiation of the face from other objects in the scene. The connected components labeling and morphology aid the segmentation process by removing noise artifacts in the scene and making the proposed algorithm robust to environmental conditions. The performance of the proposed system is evaluated for a large set of video sequences. It is found that errors in horizontal and vertical (x, y) translations and in tilt angle are negligibly small for both studio and real environments.
Keywords :
"Robustness","Labeling","Morphology","Colored noise","Layout","Humans","Face","Facial features","Dynamic range","Skin"
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference, 2004. Proceedings of the IEEE 12th
Print_ISBN :
0-7803-8318-4
Type :
conf
DOI :
10.1109/SIU.2004.1338558
Filename :
1338558
Link To Document :
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