A Novel Real-Time Face Detection System Using Modified Affine Transformation and Haar Cascades

2018 ◽  
pp. 193-204 ◽  
Author(s):  
Rohit Sharma ◽  
T. S. Ashwin ◽  
Ram Mohana Reddy Guddeti
Keyword(s):  
Real Time ◽  
Face Detection ◽  
Affine Transformation ◽  
Detection System

Real Time Face Detection System Based Edge Restoration and Nested K-Means at Frontal View

2006 ◽  
pp. 1192-1200
Author(s):  
Hyun Jea Joo ◽  
Bong Won Jang ◽  
Md. Rezaul Bashar ◽  
Phill Kyu Rhee
Keyword(s):  
Real Time ◽  
Face Detection ◽  
Detection System ◽  
Frontal View

Face detection system design for real time high resolution smart camera

2009 ◽  
Author(s):  
Yasir M. Mustafah ◽  
Abbas Bigdeli ◽  
Amelia W. Azman ◽  
Brian C. Lovell
Keyword(s):  
High Resolution ◽  
System Design ◽  
Real Time ◽  
Face Detection ◽  
Detection System ◽  
Smart Camera

scholarly journals Modular Real-Time Face Detection System

2015 ◽  
Vol 2 (3) ◽  
pp. 317-333
Author(s):  
Kaiyu Wang ◽  
Zhiming Song ◽  
Menglin Sheng ◽  
Ping He ◽  
Zhenan Tang
Keyword(s):  
Real Time ◽  
Face Detection ◽  
Detection System

The Design of Real-Time Face Detection System for Smart Home

2014 ◽  
Vol 886 ◽  
pp. 537-540
Author(s):  
Su Hua Chen ◽  
Xu Fang ◽  
Zhi Meng Shu
Keyword(s):  
Real Time ◽  
Face Detection ◽  
Smart Home ◽  
Detection System ◽  
Vertical Direction ◽  
Automatic Identification ◽  
Main Body ◽  
Infrared Source ◽  
Difference Image ◽  
Image Difference

In this paper we propose a near real-time face detection system for smart home. The system is embedded in an interconnected home environment and enables intelligent servicing by automatic identification of users. The design attempts for the first time to realize face locating system on the FPGA platform using the method combined initiative infrared source with image difference. Through image difference process, the system obtains a difference image without background interference which takes the face as the main body. It can obtain the person face boundary by projecting the difference image in the horizontal and vertical direction.

Sign in / Sign up

Export Citation Format

Share Document