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학술대회 GPU-Based Real-Time Face Detector
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저자
정재찬, 신호철, 조재일
발행일
201211
출처
International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2012, pp.173-175
DOI
https://dx.doi.org/10.1109/URAI.2012.6462961
협약과제
12PR1300, Beyond 스마트 TV 기술 개발, 홍진우
초록
The speed of face detection influences overall performance of applications like face recognition and human-robot interaction (HRI). In some applications such as long distance HRI, face detection is carried out on high resolution image up to 800×600 or more, leading to an increase in detection time and, in turn, deteriorating the application performance. To improve the speed of face detection, we propose a GPU-based face detection system consisting of modified census transform, AdaBoost and four phase cascades. To operate the face detection on GPU, we use CUDA. Experimental results demonstrated that the speed of our system than a CPU-based one was higher by a factor of five to eight compared with a CPU-based face detection system. Copyright © 2012 IEEE.
KSP 제안 키워드
Census Transform, Face detection, Four phase, GPU-based, Human-Robot Interaction(HRI), Intrusion detection system(IDS), Long-distance, Overall performance, Real-Time, application performance, detection time