Unconstrained Data Acquisition Frameworks and Protocols
João C. Neves⁎; Juan C. Moreno⁎; Silvio Barra⁎⁎; Fabio Narducci⁎⁎⁎; Hugo Proença⁎ ⁎IT – Instituto de Telecomunicações, University of Beira Interior, Covilhã, Portugal⁎⁎Department of Mathematic and Computer Science, University of Cagliari, Cagliari, Italy⁎⁎⁎BIPLab – University of Salerno, Fisciano, Italy
Abstract
The identification of humans in non-ideal conditions has been gaining increasing attention, mainly supported by the multitude of novel methods specifically developed to address the covariates of non-cooperative biometric recognition. Surveillance environments are one of the most representative cases of unconstrained scenarios, where fully automated human recognition ...
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