Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
Statistical Learning of Multi-view Face Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Training Support Vector Machines: an Application to Face Detection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Rotation Invariant Neural Network-Based Face Detection
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A General Framework for Object Detection
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Real-time video convolutional face finder on embedded platforms
EURASIP Journal on Embedded Systems
Photo retrieval combining ontology with visual information
Proceedings of the 2012 ACM Research in Applied Computation Symposium
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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.