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face detection system for SVGA source with hecto-scale frame rate on FPGA board

MICROPROCESSORS AND MICROsystemS 2012年第4期36卷 315-323页

作者： Ding, Zheng Zhao, Feng Shu, Wei Wu, Min-You Shanghai Jiao Tong Univ Dept Comp Sci & Engn Shanghai 200240 Peoples R China Digilent Elect Technol Co Ltd Shanghai Peoples R China Univ New Mexico Dept Elect & Comp Engn Albuquerque NM 87131 USA

This paper proposes techniques for face detection using Haar-like features as weak classifiers and gives the implementation details for an FPGA development board. We analyze and discuss the relation between the system computation cost and selection of the image scaling factor. Based on the empirical results of our previous work, we give a new method to select the stop threshold for the image reduction process, which reduces the total computation by half. We present and implement an improved integral image pipeline calculation design. We also provide a color image output mode to let our system enjoy more human-oriented design. Test results show that the system achieves real-time face detection speed (100fps) and a high face detection rate (87.2%) for an SVGA (600 x 800) video source. The low power consumption (3.5 W) is another advantage over previous work. (C) 2012 Elsevier B.V. All rights reserved.

关键词： face detection system Field programmable gate array Haar feature

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Performance Analysis of Machine Learning-based face detection Algorithms in face Image Transmission over AWGN and Fading Channels 16

Performance Analysis of Machine Learning-based Face Detectio...

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16th IEEE International Symposium on Broadband Multimedia systems and Broadcasting (IEEE BMSB)

作者： Kim, Junghwan Wei, Lan Univ Toledo EECS Dept 2801 W Bancroft St Toledo OH 43606 USA

ISBN: (纸本)9781665449083

Although machine learning and artificial intelligence have been widely applied, noise and interference are still major disturbances to degrade the quality of image transmission and processing efficiency in multimedia data transmission. Based on the face detection system utilizing the machine learning algorithms and artificial intelligence, this paper examines, analyzes and compares the performances of the AdaBoost machine learning algorithm and Convolutional Neural Network (CNN)-based algorithm in processing face information, which is disturbed by channel noise and fading effect encountered in the transmission of face image. The face detection system used is based on HAAR feature extraction. The extracted HAAR features are subjected to classification training and learning of the cascade classifier. Then the face detection is performed on the picture information outside the database. Results of computer simulation show that for the image data affected by the fading and AWGN, the face recognition system still marked the positions of the eyes and mouth with high accuracy. However for fading and higher AWGN, using a machine learning algorithm with a convolutional neural network is better than the ADABOOST algorithm. It can be concluded that the machine learning algorithm can effectively reduce the adverse effect of multimedia data transmission without increasing the SNR and use of higher level of modulation scheme.

关键词： Machine learning Artificial intelligence-based multimedia coding and processing Advanced signal processing face detection system BPSK/QPSK Fading Channel

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Hecto-Scale Frame Rate face detection system for SVGA Source on FPGA Board

Hecto-Scale Frame Rate Face Detection System for SVGA Source...

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IEEE 19th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)

作者： Ding, Zheng Zhao, Feng Wang, Tinghui Shu, Wei Wu, Min-You Shanghai Jiao Tong Univ Dept Comp Sci & Engn Shanghai 200030 Peoples R China Digilent Elect Technol Co Ltd Shanghai Peoples R China Univ New Mexico Dept Elect & Comp Engn Albuquerque NM 87131 USA

ISBN: (纸本)9780769543017

This paper proposes techniques for face detection and gives the implementation details for an FPGA development board. We analyze and discuss the relation between the system computation cost and selection of the image scaling factor. We give a new method to select the stop threshold for the image reduction process, which reduces the total computation by half. We also provide a color image output mode to let our system enjoy more human-oriented design. Test results show that the system achieves real-time face detection speed (100fps) and a high face detection rate (87.2%) for an SVGA (600 x 800) video source. The low power consumption (3.5W) is another advantage over previous work.

关键词： face detection system Field Programmable Gate Array Haar Feature

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A Safe Authentication system for Distance Education

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COMPUTER APPLICATIONS IN ENGINEERING EDUCATION 2014年第4期22卷 593-603页

作者： Farshchi, Seyyed Mohammad Reza Toosizadeh, Saeed Islamic Azad Univ Mashhad Branch Dept Artificial Intelligence Mashhad Iran

The importance of correctly identifying a student in a distance learning environment comes from the necessity to avoid fraud and the fact that the student plays the central role in this kind of learning process claims that the student should be correctly assessed, identified, and authenticated. The Learning Management systems available nowadays provides only the user authentication engine based on username/password, which increases the susceptibility to fraud, when the authentication certainty level about the actual user, given for this mechanism, is practically void. In this article we proposed the safe and fast approach for authentication system for distance learning. The certification methods of face recognition were adopted in proposed system. The high recognition rate of the implemented system in four cities of Iran shows that the distance education systems are more secure and reliable than the traditional authentication system, and as a result, promote the development of distance education, in future.(c) 2011 Wiley Periodicals, Inc. Comput Appl Eng Educ 22:593-603, 2014;View this article online at;DOI

关键词： distance learning login system face detection system distance education

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A multi-processing architecture for accelerating Haar-based face detection on FPGA 9

A multi-processing architecture for accelerating Haar-based ...

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9th Int Conf Ind Information Syst (ICIIS2014)

作者： Kumar, Chanchal Azam, Md Shadab Indian Inst Technol Dept Elect & Commun Engn Roorkee Uttarakhand India

ISBN: (纸本)9781479964994

Obtaining a real-time implementation for a face detection system is the first step towards human-machine interaction. This paper presents an architecture, implementable on an FPGA, for accelerating the Haar-based face detection algorithm through use of multiple dedicated processing units by utilizing the inherent parallelism in the algorithm. The architecture is designed to be scalable and the face detection load has been distributed among the processing units so as to reduce the idle time. The design has been synthesized for the Xilinx Virtex-5 board. Use of a single processing unit gives an improvement in the face detection frame rate of 5.45 times over an Intel i5, 2.4 GHz processor. The frame rate is further doubled by scaling the architecture to include four processing units running in parallel.

关键词： face recognition feature extraction field programmable gate arrays human computer interaction FPGA Haar-based face detection algorithm Xilinx Virtex-5 board face detection frame rate improvement face detection load distribution face detection system human-machine interaction idle time reduction multiprocessing architecture parallelism processing units real-time implementation scalable architecture design Acceleration Computer architecture face face detection Feature extraction Field programmable gate arrays Parallel processing Field programmable gate arrays Facial Recognition Feature extraction acceleration computer human interaction Computer Architecture detection systems parallelism PARALLEL PROCESSING (COMPUTERS) Human machine interaction face face

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Audiovisual localization of multiple speakers in a video teleconferencing setting

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INTERNATIONAL JOURNAL OF IMAGING systemS AND TECHNOLOGY 2003年第1期13卷 95-105页

作者： Kapralos, B Jenkin, MRM Milios, E Univ York Dept Comp Sci Toronto ON Canada Dalhousie Univ Fac Comp Sci Halifax NS Canada Univ York Ctr Vis Res Toronto ON Canada

Attending to multiple speakers in a video teleconferencing setting is a complex task. From a visual point of view, multiple speakers can occur at different locations and present radically different appearances. From an audio point of view, multiple speakers may be speaking at the same time, and background noise may make difficult to localize sound sources without some a priori estimate the sound source locations. This article presents a novel sensor and corresponding sensing algorithms to address the task of attending, simultaneously, to multiple speakers for video teleconferencing. A panoramic visual sensor is used to capture a 360degrees view of the speakers in the environment and from this view potential speakers are identified via a color histogram approach. A directional audio system based on beamforming is then used to confirm potential speakers and attend to them. Experimental evaluation of the sensor and its algorithms are presented including sample performance of the entire system in a teleconferencing setting. (C) 2003 Wiley Periodicals, Inc.

关键词： teleconferencing active vision sensor face detection system

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