Research Article

Development and Implementation of a New Dynamic Face Detection Operator

by  B. Abbadi, A. Oulefki, M. Mostefai
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 49 - Issue 20
Published: July 2012
Authors: B. Abbadi, A. Oulefki, M. Mostefai
10.5120/7887-1218
PDF

B. Abbadi, A. Oulefki, M. Mostefai . Development and Implementation of a New Dynamic Face Detection Operator. International Journal of Computer Applications. 49, 20 (July 2012), 18-23. DOI=10.5120/7887-1218

                        @article{ 10.5120/7887-1218,
                        author  = { B. Abbadi,A. Oulefki,M. Mostefai },
                        title   = { Development and Implementation of a New Dynamic Face Detection Operator },
                        journal = { International Journal of Computer Applications },
                        year    = { 2012 },
                        volume  = { 49 },
                        number  = { 20 },
                        pages   = { 18-23 },
                        doi     = { 10.5120/7887-1218 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2012
                        %A B. Abbadi
                        %A A. Oulefki
                        %A M. Mostefai
                        %T Development and Implementation of a New Dynamic Face Detection Operator%T 
                        %J International Journal of Computer Applications
                        %V 49
                        %N 20
                        %P 18-23
                        %R 10.5120/7887-1218
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

This work is part of a project dedicated to the development of a real-time multimodal biometric identification system. In this kind of applications, face detection is an important step before any identification process. This paper presents the development and the implementation of a dynamic face detector based on both skin color and motion detection techniques. Our choice will be guided by the computational complexity and timing constraints for a real-time processing on a low cost Virtex FPGA platform.

References
  • Martinez-Gonzalez, A. N. Ayala, R. V. 2011. Real-time face detection Using Neural Networks. Mexican International Conference on Artificial Intelligence. 2011. 144-149.
  • Zhang, J. Zhang, X. D. Ha, S. W. 2008. A novel approach Using SVM and PCA for Face detection. Fourth International conference on Natural computation, ICNC '08. 29-33.
  • Kicheon, H. Jihong, M. Wonchan, L. Jungchul, K. 2005. Real time face detection and recognition System using Haar-like feature HMM in Ubiquitous Network Environment. LNCS 3480. 1154-1161.
  • Lei, Z. Wang, C. Wang, Q. Huang, Y. 2009. Real-Time Face Detection and Recognition for Video Surveillance Applications. World Congress on Computer Science and Information Engineering. WRI 2009. 168-172.
  • Khalifa, A. Sundaraj, K. Ibrahim, Z. Retnasamy, V. 2007. Complex Background Subtraction for Biometric identification. International Conference on Intelligent and Advanced Systems. ICIAS 2007. 696-701.
  • Viola, P. Jones, M. 2004. Robust real-time face detection. International Journal of computer vision. Vol 57. 137-154.
  • Berkin, B. Berthold, K. P. Ichiro, M. 2010. Efficient Integral Image computation on the GPU. IEEE Intelligent Vehicle Symposium. 2010. 528- 532.
  • Mustafah,Y. Bigdeli, A. Azman, A. Lovell, B. 2010. Square Patch Feature Based Face detection Architecture for high resolution smart camera. ACM/IEEE International Conference on distributed smart cameras. ICDSC 2010. 175-181.
  • Sadri, M. S. Shams, N. Rahmaty, M. Hosseini, I. Changiz, R. Mortazavian, S. Kheradmand, S. Jafari, R. 2004. An FPGA Based Fast Face Detector. Global Signal Processing Expo and Conference.
  • Hiromoto, M. Nakahara, K. Sugano, H. Nakamura, Y. Miyamoto, R. 2007. A specialized processor suitable for AdaBoost-based detection with haar-like features. IEEE International conference on computer vision and pattern recognition, CVPR'07. 1-8.
  • Hori, Y. Kuroda, T. 2007. A 0. 79-mm2 29-mw real-time face detection core. IEEE Journal of Solid State Circuits, Vol. 42. 790-797.
  • Wang, G. Yang, Y. Hue, K. 2010. A robust Facial Feature method based on optical flow and prior measurement. International Journal of Cognitive Informatics and neural intelligence. 62-75.
  • Orkisz, M. 1992. Localisation d'objets mobiles dans des scènes filmées par une caméra fixe. Revue TSI. Vol 9. N°4. 325-346.
  • Menser, B. Wien, M. 2000. Segmentation and tracking of facial regions in color image sequences. SPIE Visual communication and Image Processing, Perth, Australia.
  • Hsu, R. L. Abdelmottaleb, M. Jain, A. K. 2002. Face detection in color images. IEEE trans. Pattern Analysis and Machine Intelligence. 24(5). 696-706.
  • Hartmut, F. W. Sadrozinski. Jinyuan, W. 2010. Applications of Field-Programmable Gate Arrays in Scientific Research. Taylor & Francis. ISBN 978-1-4398-4133-4
  • Xilinx Inc. Virtex II pro Platform FPGA User Guide. www. xilinx. com
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Motion detection – Skin color detection – Face tracking – Hardware implementation - FPGA

Powered by PhDFocusTM