Reinforced adaboost face detector using support vector machine
Jaeyoon Jang, C. Yunkoo, Jaehong Kim, Hosub Yoon · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2014
We propose a novel face detection algorithm in order to improve higher detection rate of face-detector than conventional haar - adaboost face detector. Our purposed method not only improves detection rate of a face but decreases the number of false-positive component. In order to get improved detection ability, we merged two classifiers: adaboost and support vector machine. Because SVM and Adaboost use different feature, they are complementary each other. We can get 2~4% improved performance using proposed method than previous our detector that is not applied proposed method. This method makes improved detector that shows better performance without algorithm replacement.