A fast and robust face detection based on module switching network
Jungbae Kim, Young Hoon Sung, Seok-Cheol Kee · 2004
We suggest a face detection method for video surveillance system to store a user's images fast and robustly. Our system consists of face and motion detectors. The face detector adopts a gentle AdaBoost algorithm to detect a face. Employing a module switching network, we extend the detectable facial pose range without loss of time. The motion detector, using temporal edges and temporal variance, decides whether a user exists when the face detector fails to detect a face. The proposed method, implemented in the form of software and a PCI interface card, displays 92.3% detection ratio in the test for CMU test DB.