Chapter 1

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


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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