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

• Tác giả: Christian Herrmann
• Ngôn ngữ: eng
• ISBN-13: 978-3731507994
• Thông tin xuất bản: Karlsruhe : KIT Scientific Publishing, 2018
• Mô tả vật lý: 1 electronic resource (IX, 153 p. p.)
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 223959

Tóm tắt

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.