The system of face detection based on OpenCV

Face detection technology has widely attracted attention due to its enormous application value and market potential, such as face recognition and video surveillance system. Real-time face detection not only is one part of the automatic face recognition system but also is developing an independent re...

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Bibliographic Details
Published in:2012 24th Chinese Control and Decision Conference (CCDC) pp. 648 - 651
Main Authors: Xianghua Fan, Fuyou Zhang, Haixia Wang, Xiao Lu
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2012
Subjects:
AdaBoost algorithm
Dual-thread
Face
Face detection
Face recognition
Feature extraction
Message systems
OpenCV
Streaming media
Timer
Training
ISBN:9781457720734, 1457720736
ISSN:1948-9439
Online Access:Get full text
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Summary:Face detection technology has widely attracted attention due to its enormous application value and market potential, such as face recognition and video surveillance system. Real-time face detection not only is one part of the automatic face recognition system but also is developing an independent research subject. So, there are many approaches to solve face detection. Here the modified AdaBoost algorithm based on OpenCV is presented, and experiments of real-time face detecting are also given through two methods of timer and dual-thread. The result shows that the method of face detection with dual-thread is simpler, smoother and more precise.
ISBN:9781457720734
1457720736
ISSN:1948-9439
DOI:10.1109/CCDC.2012.6242980