22 August 2014 Reinforced adaboost face detector using support vector machine
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Proceedings Volume 9286, Second International Conference on Applications of Optics and Photonics; 92864W (2014) https://doi.org/10.1117/12.2064815
Event: Second International Conference on Applications of Optics and Photonics, 2014, Aveiro, Portugal
Abstract
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.
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Jaeyoon Jang, Jaeyoon Jang, Yunkoo C., Yunkoo C., Jaehong K., Jaehong K., Hosub Yoon, Hosub Yoon, } "Reinforced adaboost face detector using support vector machine", Proc. SPIE 9286, Second International Conference on Applications of Optics and Photonics, 92864W (22 August 2014); doi: 10.1117/12.2064815; https://doi.org/10.1117/12.2064815
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