Reinforced adaboost face detector using support vector machine

Jaeyoon Jang; Yunkoo C.; Jaehong K.; Hosub Yoon

doi:10.1117/12.2064815

22 August 2014 Reinforced adaboost face detector using support vector machine

Jaeyoon Jang, Yunkoo C., Jaehong K., Hosub Yoon

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.

Citation Download Citation

Jaeyoon Jang, Yunkoo C., Jaehong K., and 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); https://doi.org/10.1117/12.2064815

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