Title :
Real-time multi-view face detection
Author :
Zhang, Zhenqiu ; Zhu, Long ; Li, Stan Z. ; Zhang, Hongjiang
Author_Institution :
Inst. of Autom., Acad. Sinica, Beijing, China
Abstract :
We present a detector-pyramid architecture for real-time multi-view face detection. Using a coarse to fine strategy, the full view is partitioned into finer and finer views. Each face detector in the pyramid detects faces of its respective view range. Its training is performed by using a new meta booting learning algorithm. This results in the first real-time multi-view face detection system which runs at 5 frames per second for 320×240 image sequence
Keywords :
face recognition; image sequences; learning (artificial intelligence); object detection; real-time systems; detector-pyramid architecture; image sequence; meta booting learning algorithm; real-time multi-view face detection; training; view partitioning; view range; Asia; Automation; Detectors; Face detection; Face recognition; Image sequences; Neural networks; Principal component analysis; Support vector machine classification; Support vector machines;
Conference_Titel :
Automatic Face and Gesture Recognition, 2002. Proceedings. Fifth IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7695-1602-5
DOI :
10.1109/AFGR.2002.1004147
