Biometric recognition in surveillance scenarios a

Authors: João Neves Fabio Narducci Silvio Barra Hugo Proença

Publish Date: 2016/03/22

Volume: 46, Issue: 4, Pages: 515-541

PDF Link

Abstract

Interest in the security of individuals has increased in recent years This increase has in turn led to much wider deployment of surveillance cameras worldwide and consequently automated surveillance systems research has received more attention from the scientific community than before Concurrently biometrics research has become more popular as well and it is supported by the increasing number of approaches devised to address specific degradation factors of unconstrained environments Despite these recent efforts no automated surveillance system that performs reliable biometric recognition in such an environment has become available Nevertheless recent developments in human motion analysis and biometric recognition suggest that both can be combined to develop a fully automated system As such this paper reviews recent advances in both areas with a special focus on surveillance scenarios When compared to previous studies we highlight two distinct features ie 1 our emphasis is on approaches that are devised to work in unconstrained environments and surveillance scenarios and 2 biometric recognition is the final goal of the surveillance system as opposed to behavior analysis anomaly detection or action recognition

Keywords: