Adaptive appearance model tracking for still-to-video face recognition-Reference-Cited by-同舟云学术

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Adaptive appearance model tracking for still-to-video face recognition

Published:2016-01 Issue: Volume:49 Page:129-151
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Dewan M. Ali Akber^ORCID,Granger E.,Marcialis G.-L.,Sabourin R.,Roli F.

Funder

Natural Sciences and Engineering Research Council

the Ministére du développement économique, de l ׳innovation et de l׳exportation du Québec

Research Incentive Grant

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference56 articles.

1. Person recognition using facial video information;Matta;J. Vis. Lang. Comput.,2009

2. R. Chellappa, M. Du, P. Turaga, S.K. Zhou, Face Tracking and Recognition in Video, Springer-Verlag London Limited, Princeton, 2011, pp. 323–351.

3. Z. Huang, X. Zhaoa, S. Shan, R. Wang, X. Chen, Coupling alignments with recognition for still-to-video face recognition, In: International Conference in Computer Vision, Sydney, Australia, 2013.

4. Probabilistic recognition of human faces from video;Zhou;Comput. Vis. Image Underst.,2003

5. C. Pagano, E. Granger, R. Sabourin, D. Gorodnichy, Detector ensembles for face recognition in video surveillance, In: International Joint Conference on Neural Networks, Brisbane, Australia, vol. 91, 2012, pp. 1–8.

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