상세정보
학술지
Disguised-Face Discriminator for Embedded Systems
- 발행일
- 201010
- 출처
- ETRI Journal, v.32 no.5, pp.761-765
- ISSN
- 1225-6463
- 출판사
- 한국전자통신연구원 (ETRI)
- 협약과제
- 09IC1800, u-로봇 HRI 솔루션 및 핵심 소자 기술 개발, 황대환
- 초록
- In this paper, we introduce an improved adaptive boosting (AdaBoost) classifier and its application, a disguised-face discriminator that discriminates between bare and disguised faces. The proposed classifier is based on an AdaBoost learning algorithm and regression technique. In the process, the lookup table of AdaBoost learning is utilized. The proposed method is verified on the captured images under several real environments. Experimental results and analysis show the proposed method has a higher and faster performance than other well-known methods. © 2010 ETRI.
- KSP 제안 키워드
- AdaBoost learning algorithm, Embedded system, adaptive boosting(AdaBoost), look-up table