Face recognition technologies for evidential evaluation of video traces

Xingjie Wei, Chang-Tsun Li

Research output: Book chapter/Published conference paperChapter (peer-reviewed)peer-review

Abstract

Human recognition from video traces is an important task in forensic investigations and evidence evaluations. Compared with other biometric traits, face is one of the most popularly used modalities for human recognition due to the fact that its collection is non-intrusive and requires less cooperation from the subjects. Moreover, face images taken at a long distance can still provide reasonable resolution, while most biometric modalities, such as iris and fingerprint, do not have this merit. In this chapter, we discuss automatic face recognition technologies for evidential evaluations of video traces. We first introduce the general concepts in both forensic and automatic face recognition , then analyse the difficulties in face recognition from videos . We summarise and categorise the approaches for handling different uncontrollable factors in difficult recognition conditions. Finally we discuss some challenges and trends in face recognition research in both forensics and biometrics . Given its merits tested in many deployed systems and great potential in other emerging applications, considerable research and development efforts are expected to be devoted in face recognition in the near future.
Original languageEnglish
Title of host publicationHandbook of biometrics for forensic science
EditorsMassimo Tistarelli, ‎Christophe Champod
Place of PublicationCham, Switzerland
PublisherSpringer
Chapter8
Pages177-193
Number of pages17
Edition1st
ISBN (Electronic)9783319506739
ISBN (Print)9783319506715
DOIs
Publication statusPublished - 2017

Publication series

Name Advances in Computer Vision and Pattern Recognition

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