A fast and accurate face detector based on neural networks
- 1 January 2001
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 23 (1) , 42-53
- https://doi.org/10.1109/34.899945
Abstract
Detecting faces in images with complex backgrounds is a difficult task. Our approach, which obtains state of the art results, is based on a neural network model: the constrained generative model (CGM). Generative, since the goal of the learning process is to evaluate the probability that the model has generated the input data, and constrained since some counter-examples are used to increase the quality of the estimation performed by the model. To detect side view faces and to decrease the number of false alarms, a conditional mixture of networks is used. To decrease the computational time cost, a fast search algorithm is proposed. The level of performance reached, in terms of detection accuracy and processing time, allows us to apply this detector to a real world application: the indexing of images and videos.Keywords
This publication has 29 references indexed in Scilit:
- LISTEN: a system for locating and tracking individual speakersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A general framework for object detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- MULTRAK: a system for automatic multiperson localization and tracking in real-timePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Training support vector machines: an application to face detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Probabilistic visual learning for object detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Face Recognition Under Varying Pose.Published by Defense Technical Information Center (DTIC) ,1993
- Face recognition: features versus templatesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993
- Solving the Human Face Recognition Task using Neural NetsPublished by Elsevier ,1992
- Neural networks and principal component analysis: Learning from examples without local minimaNeural Networks, 1989
- Mechanisms of human facial recognitionInternational Journal of Man-Machine Studies, 1981