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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2012 24th Chinese Control and Decision Conference (CCDC) s. 648 - 651
Hlavní autoři: Xianghua Fan, Fuyou Zhang, Haixia Wang, Xiao Lu
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.05.2012
Témata:
AdaBoost algorithm
Dual-thread
Face
Face detection
Face recognition
Feature extraction
Message systems
OpenCV
Streaming media
Timer
Training
ISBN:9781457720734, 1457720736
ISSN:1948-9439
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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