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Conference Paper
Reinforced Adaboost Face Detector using Support Vector Machine
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- Authors
- Jaeyoon Jang, Yunkoo C., Jaehong K., Hosub Yoon
- Issue Date
- 2014-05
- Citation
- International Conference on Applications of Optics and Photonics 2014, pp.1-6
- Language
- English
- Type
- Conference Paper
- 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.
- KSP Keywords
- Detection ability, Detection algorithm, Face detection, Improved detection, Support VectorMachine(SVM), detection rate(DR), improved performance