{"citation":{"chicago":"Tünnermann, Jan, Markus Hennig, Michael Silbernagel, and Bärbel Mertsching. “A Prototyping Environment for Integrated Artificial Attention Systems.” In <i>6th International Symposium on Attention in Cognitive Systems</i>, 2013.","bibtex":"@inproceedings{Tünnermann_Hennig_Silbernagel_Mertsching_2013, title={A Prototyping Environment for Integrated Artificial Attention Systems}, booktitle={6th International Symposium on Attention in Cognitive Systems}, author={Tünnermann, Jan and Hennig, Markus and Silbernagel, Michael and Mertsching, Bärbel}, year={2013} }","short":"J. Tünnermann, M. Hennig, M. Silbernagel, B. Mertsching, in: 6th International Symposium on Attention in Cognitive Systems, 2013.","mla":"Tünnermann, Jan, et al. “A Prototyping Environment for Integrated Artificial Attention Systems.” <i>6th International Symposium on Attention in Cognitive Systems</i>, 2013.","ieee":"J. Tünnermann, M. Hennig, M. Silbernagel, and B. Mertsching, “A Prototyping Environment for Integrated Artificial Attention Systems,” 2013.","apa":"Tünnermann, J., Hennig, M., Silbernagel, M., &#38; Mertsching, B. (2013). A Prototyping Environment for Integrated Artificial Attention Systems. <i>6th International Symposium on Attention in Cognitive Systems</i>.","ama":"Tünnermann J, Hennig M, Silbernagel M, Mertsching B. A Prototyping Environment for Integrated Artificial Attention Systems. In: <i>6th International Symposium on Attention in Cognitive Systems</i>. ; 2013."},"year":"2013","user_id":"3937","type":"conference","_id":"58664","title":"A Prototyping Environment for Integrated Artificial Attention Systems","abstract":[{"lang":"eng","text":"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."}],"language":[{"iso":"eng"}],"date_created":"2025-02-17T12:38:13Z","department":[{"_id":"50"}],"author":[{"full_name":"Tünnermann, Jan","last_name":"Tünnermann","first_name":"Jan"},{"first_name":"Markus","last_name":"Hennig","full_name":"Hennig, Markus","id":"3937"},{"last_name":"Silbernagel","first_name":"Michael","full_name":"Silbernagel, Michael"},{"full_name":"Mertsching, Bärbel","last_name":"Mertsching","first_name":"Bärbel"}],"date_updated":"2025-02-18T09:27:37Z","external_id":{"arxiv":["1307.8233"]},"status":"public","publication":"6th International Symposium on Attention in Cognitive Systems"}