Quis-Campi: Extending in the wild biometric recognition to surveillance environments

Barra, Silvio;
2015-01-01

Abstract

Efforts in biometrics are being held into extending robust recognition techniques to in the wild scenarios. Nonetheless, and despite being a very attractive goal, human identification in the surveillance context remains an open problem. In this paper, we introduce a novel biometric system – Quis-Campi – that effectively bridges the gap between surveillance and biometric recognition while having a minimum amount of operational restrictions.We propose a fully automated surveillance system for human recognition purposes, attained by combining human detection and tracking, further enhanced by a PTZ camera that delivers data with enough quality to perform biometric recognition. Along with the system concept, implementation details for both hardware and software modules are provided, as well as preliminary results over a real scenario.
2015
Inglese
New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops
9783319232218
Springer
Christian Riess, et. al
9281
59
68
10
18th International Conference on Image Analysis and Processing, ICIAP 2015 BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM
Esperti anonimi
September 7-8, 2015
Genoa, Italy
scientifica
Theoretical computer science; Computer science (all)
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Neves, João C.; Santos, Gil; Filipe, Sílvio; Grancho, Emanuel; Barra, Silvio; Narducci, Fabio; Proença, Hugo
273
7
4.1 Contributo in Atti di convegno
reserved
info:eu-repo/semantics/conferencePaper
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