상세정보
학술대회
Real-time Face Detection on Reconfigurable Device
- 발행일
- 201310
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2013, pp.726-727
- 협약과제
- 13PS1400, 스마트 단말용 스트리밍 유해 컨텐츠 차단 기술 개발, 한승완
- 초록
- This paper presents an efficient hardware architecture for a real-time face detection system using a reconfigurable logic device. The proposed architecture is based on AdaBoost learning algorithm with Haar-like features and it aims to apply to a reconfigurable device. The proposed system was verified by the RTL functional simulation and tested the same input images on the OpenCV program for a fair verification of the functionality. The experimental results show that the processing time for a 320×240 pixel image is 42 frames per second with the 100MHz. © 2013 IEEE.
- KSP 제안 키워드
- AdaBoost learning algorithm, Efficient Hardware Architecture, Frames per second(FPS), Haar-Like features, Intrusion detection system(IDS), Real-Time Face Detection, functional simulation, processing time, reconfigurable device, reconfigurable logic device