A Comparison of Approaches for Person Re-identification
Maria De Marsico, Riccardo Distasi, Stefano Ricciardi, Daniel Riccio · 2014
Advanced surveillance applications often require the ability to re-identify an individual. In the typical context of a sensor network, this means to recognize a subject acquired at one location among a feasible set of candidates acquired at another locations and/or over time. Usually this does not necessarily imply to know the identity, and actually it might remain unknown. This task is especially challenging in applications targeted at crowded environments. Face and gait are contactless biometrics which are particularly suited to be used for re-identification, but even “soft” biometrics have also been considered to this aim. This paper presents a comparison of approaches to re-identification, with some characteristic examples in literature, while a complete overview of the main researches is out of our scope. The goal is to provide an objective 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.