Authors:
Maria De Marsico
1
;
Riccardo Distasi
2
;
Stefano Ricciardi
2
and
Daniel Riccio
3
Affiliations:
1
Sapienza Università di Roma, Italy
;
2
Università di Salerno, Italy
;
3
Università di Napoli, Italy
Keyword(s):
Re-identification, Biometrics, Multiple Cameras Networks, Persistent Tracking, People Tracking.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Biometrics
;
Biometrics and Pattern Recognition
;
Classification
;
Multimedia
;
Multimedia Signal Processing
;
Pattern Recognition
;
Telecommunications
;
Theory and Methods
Abstract:
Advanced surveillance applications often require to re-identify an individual. In the typical context of a camera network, this means to recognize a subject acquired at one location among a feasible set of candidates acquired at different locations and/or times. This task is especially challenging in applications targeted at crowded environments. Face and gait are contactless biometrics which are particularly suited to re-identification, but even “soft” biometrics have been considered to this aim. We present a review of approaches to re-identification, with some characteristic examples in literature. The goal is to provide an estimate of both the state-of-the-art and the potential of such techniques to further improve them and to extend the applicability of re-identification systems.