Robust Real-time Face Detection Scheme on Various illumination Conditions

Journal of Korean institute of intelligent systems ◽

10.5391/jkiis.2004.14.7.821 ◽

2004 ◽

Vol 14 (7) ◽

pp. 821-829

Author(s):

Soo-Hyun Kim ◽

Young-Joon Han ◽

Hyung-Tai Cha ◽

Hern-Soo Hahn

Keyword(s):

Real Time ◽

Face Detection ◽

Detection Scheme

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P-FAD: Real-Time Face Detection Scheme on Embedded Smart Cameras

IEEE Journal on Emerging and Selected Topics in Circuits and Systems ◽

10.1109/jetcas.2013.2256823 ◽

2013 ◽

Vol 3 (2) ◽

pp. 210-222 ◽

Author(s):

Qiang Wang ◽

Jing Wu ◽

Chengnian Long ◽

Bo Li

Keyword(s):

Real Time ◽

Face Detection ◽

Detection Scheme ◽

Smart Cameras ◽

Embedded Smart Cameras

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Face Detection in Real Time Live Video Using Yolo Algorithm Based on Vgg16 Convolutional Neural Network

2021 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM) ◽

10.1109/icieam51226.2021.9446291 ◽

2021 ◽

Author(s):

Htet Aung ◽

Alexander V. Bobkov ◽

Nyan Lin Tun

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Real Time ◽

Face Detection ◽

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RTED-SD: A Real-Time Edge Detection Scheme for Sybil DDoS in the Internet of Vehicles

IEEE Access ◽

10.1109/access.2021.3049830 ◽

2021 ◽

pp. 1-1

Author(s):

Jiabin Li ◽

Zhi Xue ◽

Changlian Li ◽

Ming Liu

Keyword(s):

Edge Detection ◽

Real Time ◽

The Internet ◽

Detection Scheme ◽

Internet Of Vehicles

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Face detection and posture recognition in a real time tracking system

2017 IEEE International Systems Engineering Symposium (ISSE) ◽

10.1109/syseng.2017.8088265 ◽

2017 ◽

Author(s):

Hung-Yuan Chung ◽

Chun-Cheng Hou ◽

Shou-Jyun Liang

Keyword(s):

Real Time ◽

Face Detection ◽

Tracking System ◽

Real Time Tracking ◽

Posture Recognition

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Embedded System Study for Real Time Boosting Based Face Detection

IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics ◽

10.1109/iecon.2006.347828 ◽

2006 ◽

Author(s):

K. Khattab ◽

J. Miteran ◽

J. Dubois ◽

J. Matas

Keyword(s):

Embedded System ◽

Real Time ◽

Face Detection ◽

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Real-time face detection using Gentle AdaBoost algorithm and nesting cascade structure

2012 International Symposium on Intelligent Signal Processing and Communications Systems ◽

10.1109/ispacs.2012.6473448 ◽

2012 ◽

Author(s):

Jian-qing Zhu ◽

Can-hui Cai

Keyword(s):

Real Time ◽

Face Detection ◽

Adaboost Algorithm ◽

Cascade Structure

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Real-time optimization of Viola -Jones face detection for mobile platforms

2008 IEEE Dallas Circuits and Systems Workshop: System-on-Chip - Design, Applications, Integration, and Software ◽

10.1109/dcas.2008.4695921 ◽

2008 ◽

Author(s):

Jianfeng Ren ◽

Nasser Kehtarnavaz ◽

Leonardo Estevez

Keyword(s):

Real Time ◽

Face Detection ◽

Mobile Platforms ◽

Time Optimization ◽

Real Time Optimization

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A real time face tracking system using rank deficient face detection and motion estimation

2008 7th IEEE International Conference on Cybernetic Intelligent Systems ◽

10.1109/ukricis.2008.4798956 ◽

2008 ◽

Author(s):

Vidit Saxena ◽

Sarthak Grover ◽

Sachin Joshi

Keyword(s):

Motion Estimation ◽

Real Time ◽

Face Detection ◽

Tracking System ◽

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Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition ◽

10.1109/cvpr.2018.00244 ◽

2018 ◽

Author(s):

Xuepeng Shi ◽

Shiguang Shan ◽

Meina Kan ◽

Shuzhe Wu ◽

Xilin Chen

Keyword(s):

Real Time ◽

Face Detection ◽

Rotation Invariant

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Research and Implementation of Face Detection Based on OpenCV

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.971-973.1710 ◽

2014 ◽

Vol 971-973 ◽

pp. 1710-1713

Author(s):

Wen Huan Wu ◽

Ying Jun Zhao ◽

Yong Fei Che

Keyword(s):

Face Recognition ◽

Detailed Analysis ◽

Real Time ◽

Face Detection ◽

Recognition System ◽

Detection Algorithm ◽

High Accuracy ◽

Accuracy Rate ◽

Face Recognition System ◽

Face detection is the key point in automatic face recognition system. This paper introduces the face detection algorithm with a cascade of Adaboost classifiers and how to configure OpenCV in MCVS. Using OpenCV realized the face detection. And a detailed analysis of the face detection results is presented. Through experiment, we found that the method used in this article has a high accuracy rate and better real-time.

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