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Face detection system design for real time high resolution smart camera

Recognizing faces in a crowd in real-time is a key feature which would significantly enhance intelligent surveillance systems. Using a smart camera as a tool to extract faces for recognition would greatly reduce the computational load on the main processing unit. Main processing unit would not be ov...

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Main Authors: Mohd Mustafah, Yasir, Bigdeli, Abbas, Azman, Amelia Wong, Lovell, Brian
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/28296/1/Face_Detection_System_Design_for_Real_Time_High_Resolution_Smart_Camera.pdf
http://irep.iium.edu.my/28296/
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5289346&tag=1
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spelling my.iium.irep.282962013-09-18T01:21:45Z http://irep.iium.edu.my/28296/ Face detection system design for real time high resolution smart camera Mohd Mustafah, Yasir Bigdeli, Abbas Azman, Amelia Wong Lovell, Brian T Technology (General) Recognizing faces in a crowd in real-time is a key feature which would significantly enhance intelligent surveillance systems. Using a smart camera as a tool to extract faces for recognition would greatly reduce the computational load on the main processing unit. Main processing unit would not be overloaded by the demands of the high data rates of the video and could be designed solely for face recognition. The challenge is with the increasing speed and resolution of the camera sensors, a fast and robust face detection system is required for real time operation. In this paper we report on a multiple-stage face detection system that is designed for implementation on an FPGA based high resolution smart camera system. The system consist of filter stages to greatly reduce the region of interest in video image, followed by a face detection stage to accurately locate the faces. For filter stage, the algorithm is designed to be very fast so that it can be processed in real time. Meanwhile, for face detection stage, a hardware and software co-design technique is utilised to accelerate it. 2009 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/28296/1/Face_Detection_System_Design_for_Real_Time_High_Resolution_Smart_Camera.pdf Mohd Mustafah, Yasir and Bigdeli, Abbas and Azman, Amelia Wong and Lovell, Brian (2009) Face detection system design for real time high resolution smart camera. In: Third ACM/IEEE International Conference on Distributed Smart Cameras, 2009. ICDSC 2009, 30 Aug. - 2 Sept. 2009, Societ del Casino, Teatro Sociale di Como. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5289346&tag=1
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Mohd Mustafah, Yasir
Bigdeli, Abbas
Azman, Amelia Wong
Lovell, Brian
Face detection system design for real time high resolution smart camera
description Recognizing faces in a crowd in real-time is a key feature which would significantly enhance intelligent surveillance systems. Using a smart camera as a tool to extract faces for recognition would greatly reduce the computational load on the main processing unit. Main processing unit would not be overloaded by the demands of the high data rates of the video and could be designed solely for face recognition. The challenge is with the increasing speed and resolution of the camera sensors, a fast and robust face detection system is required for real time operation. In this paper we report on a multiple-stage face detection system that is designed for implementation on an FPGA based high resolution smart camera system. The system consist of filter stages to greatly reduce the region of interest in video image, followed by a face detection stage to accurately locate the faces. For filter stage, the algorithm is designed to be very fast so that it can be processed in real time. Meanwhile, for face detection stage, a hardware and software co-design technique is utilised to accelerate it.
format Conference or Workshop Item
author Mohd Mustafah, Yasir
Bigdeli, Abbas
Azman, Amelia Wong
Lovell, Brian
author_facet Mohd Mustafah, Yasir
Bigdeli, Abbas
Azman, Amelia Wong
Lovell, Brian
author_sort Mohd Mustafah, Yasir
title Face detection system design for real time high resolution smart camera
title_short Face detection system design for real time high resolution smart camera
title_full Face detection system design for real time high resolution smart camera
title_fullStr Face detection system design for real time high resolution smart camera
title_full_unstemmed Face detection system design for real time high resolution smart camera
title_sort face detection system design for real time high resolution smart camera
publishDate 2009
url http://irep.iium.edu.my/28296/1/Face_Detection_System_Design_for_Real_Time_High_Resolution_Smart_Camera.pdf
http://irep.iium.edu.my/28296/
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5289346&tag=1
_version_ 1643609480446869504
score 13.211869

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