Based on the Adaboost Algorithm of Face Detection Research

Wei Bo Yu; Lin Zhao; Wei Ming He

doi:10.4028/www.scientific.net/AMM.635-637.985

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 635-637Based on the Adaboost Algorithm of Face Detection...

Based on the Adaboost Algorithm of Face Detection Research

Abstract:

Because of the influence of complex image background, illumination changes, facial rotation and some other factors, makes face detection in complex background is much more difficult, lower accuracy and slower speed. Adaboost algorithm was used for face detection, and implemented the test process in OpenCV. Face detection experiments were performed on images with facial rotation and complex background, the detection accuracy rate was 85% and 99% respectively, the average detection time of each picture was 16.67ms and 76ms.Experimental results show that the face detection algorithm can accurately and quickly realize face detection in complex background, and can satisfy the requirements of real-time face recognition system.

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Periodical:

Applied Mechanics and Materials (Volumes 635-637)

Pages:

985-988

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.635-637.985

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Online since:

September 2014

Authors:

Wei Bo Yu*, Lin Zhao, Wei Ming He

Keywords:

Adaboost, Complex Background, Face Detection, OpenCV

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* - Corresponding Author

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