DocumentCode :
596384
Title :
GPU-based real-time face detector
Author :
Jae-chan Jeong ; Ho-chul Shin ; Jae-il Cho
Author_Institution :
IRobot/Cognitive Syst. Res. Dept., Electron. & Telecommun. Res. Inst., Daejeon, South Korea
fYear :
2012
fDate :
26-28 Nov. 2012
Firstpage :
173
Lastpage :
175
Abstract :
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.
Keywords :
face recognition; graphics processing units; human-robot interaction; image resolution; object detection; parallel architectures; transforms; AdaBoost; CUDA; GPU-based face detection; face recognition; four phase cascades; high resolution image; human-robot interaction; long distance HRI; modified census transform; real-time face detector; Detectors; Face; Face detection; Graphics processing units; Image resolution; Lighting; Neural networks; CUDA; Face Detection; GPU; Human Robot Interaction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2012 9th International Conference on
Conference_Location :
Daejeon
Print_ISBN :
978-1-4673-3111-1
Electronic_ISBN :
978-1-4673-3110-4
Type :
conf
DOI :
10.1109/URAI.2012.6462961
Filename :
6462961
Link To Document :
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