Detector ensembles for face recognition in video surveillance


Biometric systems for recognizing faces in video streams have become relevant in a growing number of private and public sector applications, among them screening for individuals of interest in dense and moving crowds. In practice, the performance of these systems typically declines because they encounter a variety of uncontrolled conditions that change… (More)
DOI: 10.1109/IJCNN.2012.6252659


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@article{Pagano2012DetectorEF, title={Detector ensembles for face recognition in video surveillance}, author={Christophe C. Pagano and Eric Granger and Robert Sabourin and Dmitry O. Gorodnichy}, journal={The 2012 International Joint Conference on Neural Networks (IJCNN)}, year={2012}, pages={1-8} }