The Community for Technology Leaders
Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
ISBN: 978-0-7695-3507-4
pp: 168-172
ABSTRACT
Real-time human face detection and recognition from video sequences in surveillance applications is a challenging task due to the variances in background, facial expression and illumination. The face detection approach is based on modest AdaBoost
INDEX TERMS
CITATION
Yanyan Huang, Qinghai Wang, Chao Wang, Zhen Lei, "Real-Time Face Detection and Recognition for Video Surveillance Applications", Computer Science and Information Engineering, World Congress on, vol. 05, no. , pp. 168-172, 2009, doi:10.1109/CSIE.2009.617
100 ms
(Ver )