Title :
Face detection by improved AdaBoost
Author :
Tao Huang ; Zhu Wang
Author_Institution :
Inst. for Pattern Recognition & Artificial Intell., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
This paper described an improved AdaBoost. AdaBoost is a face detection framework that is able to process images fast and accurately. Our improved AdaBoost is based on the original framework, but has higher detection rate without extra time cost. There are four main parts of this paper. The first part is an introduction of face detection and challenges to implement it. The second part introduced the original AdaBoost algorithm. The third part presented our improved AdaBoost in detail. The last partcompared and analyzed the improved AdaBoost with the original one, and proved the improvement through tests.
Keywords :
face recognition; learning (artificial intelligence); face detection framework; image processing; improved AdaBoost; detection rate; face detection; false detection; improved AdaBoost;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4673-2963-7
DOI :
10.1109/ICCSNT.2012.6526091