Video-to-Video Face Recognition for Low-Quality Surveillance Data - Dissertationsschrift

The availability of video data is an opportunity and a challenge for law enforcement agencies. Face recognition methods can play a key role in the automated search for persons in the data. This work targets efficient representations of low-quality face sequences to enable fast and accurate face search. Novel concepts for multi-scale analysis, dataset augmentation, CNN loss function, and sequence description lead to improvements over state-of-the-art methods on surveillance video footage.

Product details

• Authors: Christian Herrmann
• Publisher: KIT Scientific Publishing
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2018
• EAN: 9783731507994
• ISBN: 978-3-7315-0799-4
• No. of pages: 182
• Dimensions: 148 mm x 210 mm x 11 mm
• Weight: 350 g
• Illustrations: graph. Darst.
• Series: Karlsruher Schriften zur Anthropomatik; Karlsruher Schriften zur Anthropomatik
• Subjects: Guides; Natural sciences, medicine, IT, technology > IT, data processing > Miscellaneous