Optimal skin detection for face localization using genetic algorithms

Face Recognition remains a challenging task over two decades in spite of many advances. Face Localization and Detection forms an important step in Face Recognition systems, face tracking in video surveillance, gesture analytics, etc. Many algorithms are in use for face detection each having their re...

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Bibliographic Details
Published in2011 11th International Conference on Hybrid Intelligent Systems (HIS) pp. 668 - 673
Main Authors Babu, T. R., Mahalakshmi, K., Subrahmanya, S. V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2011
Subjects
Biological cells
color spaces
Face
Face detection
Genetic algorithms
Image color analysis
Skin
Training
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Summary:Face Recognition remains a challenging task over two decades in spite of many advances. Face Localization and Detection forms an important step in Face Recognition systems, face tracking in video surveillance, gesture analytics, etc. Many algorithms are in use for face detection each having their relative advantages and disadvantages. The challenges of the task emanate from with image specific variations in color components, light saturation, background clutter etc. In the current work, we focus on application of Genetic Algorithms for finding optimal limits for color components as well as de-saturation that leads to highly accurate skin color detection.
ISBN:1457721511
9781457721519
DOI:10.1109/HIS.2011.6122186