---
res:
  bibo_abstract:
  - Artificial visual attention systems aim to support technical systems in visual
    tasks by applying the concepts of selective attention observed in humans and other
    animals. Such systems are typically evaluated against ground truth obtained from
    human gaze-data or manually annotated test images. When applied to robotics, the
    systems are required to be adaptable to the target system. Here, we describe a
    flexible environment based on a robotic middleware layer allowing the development
    and testing of attention-guided vision systems. In such a framework, the systems
    can be tested with input from various sources, different attention algorithms
    at the core, and diverse subsequent tasks.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Jan
      foaf_name: Tünnermann, Jan
      foaf_surname: Tünnermann
  - foaf_Person:
      foaf_givenName: Markus
      foaf_name: Hennig, Markus
      foaf_surname: Hennig
      foaf_workInfoHomepage: http://www.librecat.org/personId=3937
  - foaf_Person:
      foaf_givenName: Michael
      foaf_name: Silbernagel, Michael
      foaf_surname: Silbernagel
  - foaf_Person:
      foaf_givenName: Bärbel
      foaf_name: Mertsching, Bärbel
      foaf_surname: Mertsching
  dct_date: 2013^xs_gYear
  dct_language: eng
  dct_title: A Prototyping Environment for Integrated Artificial Attention Systems@
...