  The development of biometric recognition solutions able to work in visual
surveillance conditions, i.e., in unconstrained data acquisition conditions and
under covert protocols has been motivating growing efforts from the research
community. Among the various laboratories, schools and research institutes
concerned about this problem, the SOCIA: Soft Computing and Image Analysis
Lab., of the University of Beira Interior, Portugal, has been among the most
active in pursuing disruptive solutions for obtaining such extremely ambitious
kind of automata. This report summarises the research works published by
elements of the SOCIA Lab. in the last decade in the scope of biometric
recognition in unconstrained conditions. The idea is that it can be used as
basis for someone wishing to entering in this research topic.
