Resumen

MOCTEZUMA-OCHOA, Daniela Alejandra. People Re-Identification Based on Soft-Biometrics Features in Multi-Camera Surveillance Scenario. Ing. invest. y tecnol. [online]. 2016, vol.17, n.2, pp.257-271.  Epub 04-Abr-2022. ISSN 2594-0732.

In last years, the intelligent video surveillance systems have become an important research topic due to relevance for security sector. In this paper, a full intelligent video surveillance system is presented. This system is conforming by two important modules: people detection and people re-identification based on soft-biometrics features. These two modules provide a whole system for people re-identification in multi-camera surveillance environment. The results show the relevance and potential of soft-biometrics features as well as a promising identification rate result in several standard and public databases and moreover with an own database acquired at International Barajas airport in Madrid.

Palabras llave : intelligent video surveillance systems; people re-identification; soft-biometrics features; people detection; incremental learning.