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Conference Paper
Real-time Face Detection on Reconfigurable Device
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- Authors
- Mooseop Kim, Seungwan Han
- Issue Date
- 2013-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2013, pp.726-727
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- 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 Keywords
- AdaBoost learning algorithm, Detection Systems(IDS), Efficient Hardware Architecture, Frames per second(FPS), Real-Time Face Detection, Reconfigurable device, functional simulation, haar-like features, processing time, reconfigurable logic device