A robustness and real-time face detection algorithm in complex background

Because AdaBoost cascade face detection algorithm has a very outstanding performance, AdaBoost face detection is the mainstream algorithm currently. But it can produce misjudgment at a similar facial feature regional, particularly in the detection of more complicated image background circumstances m...

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Bibliographic Details
Main Authors: Li-Ying Lang, Wei-Wei Gu
Format: Conference Proceeding
Language:English
Subjects:
AdaBoost
Algorithm design and analysis
Color space
Colored noise
Face detection
Image segmentation
Mathematical model
Pattern analysis
Pattern recognition
Robustness
Skin
Skin color model
Skin color segmentation
Wavelet analysis
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Summary:Because AdaBoost cascade face detection algorithm has a very outstanding performance, AdaBoost face detection is the mainstream algorithm currently. But it can produce misjudgment at a similar facial feature regional, particularly in the detection of more complicated image background circumstances misjudgment is even more serious. In view of reasons above, in this paper, a new algorithm was proposed and named A-SCS algorithm, which is increased skin color segmentation after detected face region use the AdaBoost algorithm. This algorithm makes full use of the image useful information, and greatly reduced the possibility of misjudgment. Compare to AdaBoost algorithm and skin color segmentation algorithm, the algorithm mentioned in this paper reduced the false detecting rate in complex background image, At the same time, it is of definite robustness. Simulated experimental results by Matlab indicate that this algorithm is faster and accuracy. Therefore it can be applied to real-time face detection system.
ISSN:2158-5695
DOI:10.1109/ICWAPR.2009.5207441