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Abstract
Face recognition systems are very sensitive to the quality and resolution of their input face images. This makes such systems unreliable when working with long surveillance video sequences without employing some selection and enhancement algorithms. On the other hand, processing all the frames of such video sequences by any enhancement or even face recognition algorithm is demanding. Thus, there is a need for a mechanism to summarize the input video sequence to a set of key-frames and then applying an enhancement algorithm to this subset. This paper presents a system doing exactly this. The system uses face quality assessment to select the key-frames and a hybrid super-resolution to enhance the face image quality. The suggested system that employs a linear associator face recognizer to evaluate the enhanced results has been tested on real surveillance video sequences and the experimental results show promising results.
Original language | English |
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Title of host publication | IEEE 4th International Conference on Biometrics Theory, Applications and Systems (BTAS), Washington DC, USA |
Number of pages | 6 |
Place of Publication | Washington, DC, USA |
Publisher | IEEE Press |
Publication date | 27 Sept 2010 |
ISBN (Print) | 978-1-4244-7581-0 |
ISBN (Electronic) | 978-1-4244-7580-3 |
DOIs | |
Publication status | Published - 27 Sept 2010 |
Event | IEEE 4th International Conference on Biometrics Theory, Applications and Systems (BTAS) - Washington DC, United States Duration: 27 Sept 2010 → 29 Sept 2010 |
Conference
Conference | IEEE 4th International Conference on Biometrics Theory, Applications and Systems (BTAS) |
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Country/Territory | United States |
City | Washington DC |
Period | 27/09/2010 → 29/09/2010 |
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Dive into the research topics of 'Finding and Improving the Key-Frames of Long Video Sequences for Face Recognition'. Together they form a unique fingerprint.Projects
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Big Brother <em>is</em> watching you! - Extracting a good quality face image from a poor quality surveillance video<strong/>
Moeslund, T. B., Holte, M. B., Fihl, P., Hansen, D. M. & Nasrollahi, K.
01/10/2007 → …
Project: Research