The face detection system based on GPU+CPU desktop cluster

2011 International Conference on Multimedia Technology, ICMT 2011

Volumn , Issue , 2011, Pages 3735-3738

  Gaowei, ^a   Cheming, ^a  

^a TIANJIN UNIVERSITY   (China)

Author keywords

Adaboost; Data parallel; Face detection; GPU+CPU; Real time; Thread level parallelism

Indexed keywords

ADABOOST LEARNING; APPLICATION AREA; COMPUTING POWER; DATA BANDWIDTH; DATA PARALLEL; DETECTION RATES; FACE DETECTION SYSTEM; GPU+CPU; GRAPHICS CARD; REAL-TIME; RESEARCH TOPICS; THREAD LEVEL PARALLELISM;

ADAPTIVE BOOSTING; COMPUTER GRAPHICS; COMPUTER VISION; HUMAN COMPUTER INTERACTION; PARALLEL ARCHITECTURES; PATTERN RECOGNITION SYSTEMS; SECURITY OF DATA;

FACE RECOGNITION;

EID: 80052928881     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMT.2011.6002122     Document Type: Conference Paper

References (8)

1. Viola P and Jones M. Rapid Object Detection using a Boosted Cascade of Simple Features. In IEEE Conference on Computer Vision and Pattern Recognition, 2001(1):511-518)
2. Opencv.[Online].Available:http://sourceforge.net/projects/opencvlibrary
3. NVIDIA CUDA Best Practices Guide, NVIDIA,Version3.0 Apr. 2010.[Online].Available:http://cuda.csdn.net/download/CUDAToolkitversion1. 1forWindowsXP/C/doc/NVIDIA-CUDA-BestPracticesGuide.Pdf
4. Rainer Lienhart, Alexander Kuranov, Vadim Pisarevsky, Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection, MRL Technical Report, May 2002.
5. Andrzej Kasinski. Adam Schmidt, The architecture and performance of the face and eyes detection system based on the Haar cascade classifiers, Springer-Verlag March 2009.
6. J. P. Harvey, "GPU Acceleration of Object Classification Algorithms Using NVIDIA CUDA," Master's thesis, Rochester Institute of Technology, Rochester, NY, Sept. 2009.
7. Daniel Hefenbrock, Jason Oberg, Nhat Tan Nguyen Thanh, Ryan Kastner, Scott B. Baden, Accelerating Viola-Jones Face Detection to FPGA-Level using GPUs, 2010 18th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines.
8. J. Cho, B. Benson, S. Mirzaei, and R. Kastner, "Parallelized Architecture of Multiple Classifiers for Face Detection," in ASAP '09: Proceedings of the 2009 20th IEEE International Conference on Application-specific Systems, Architectures and Processors. Washington, DC, USA: IEEE Computer Society, 2009, pp. 75-82.