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
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CITATION

Y. Huang, Q. Wang, C. Wang and Z. Lei, "Real-Time Face Detection and Recognition for Video Surveillance Applications," 2009 WRI World Congress on Computer Science and Information Engineering, CSIE(CSIE), Los Angeles, CA, 2009, pp. 168-172.
doi:10.1109/CSIE.2009.617
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