상세정보
학술대회
Reinforced Adaboost Face Detector using Support Vector Machine
- 발행일
- 201405
- 출처
- International Conference on Applications of Optics and Photonics 2014, pp.1-6
- 협약과제
- 13SE1600, 시각 생체 모방 소자 및 인지 시스템 기술 개발, 정명애
- 초록
- 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 제안 키워드
- Detection ability, Detection algorithm, Face detection, Improved detection, Support VectorMachine(SVM), detection rate(DR), improved performance