{"type":"ScholarlyArticle","title":"Selective Attention in Dynamic Vision","authors":[{"name":"Richard J. Howarth","slug":"richard-j-howarth","given":"Richard J.","family":"Howarth","affiliation":""},{"name":"Hilary Buxton","slug":"hilary-buxton","given":"Hilary","family":"Buxton","affiliation":""}],"abstract":"Selective attention can enable a vision system to perform effectively. · The high-level vision component developed here uses Bayesian networks combined with a deictic representation to ( 1) create a dynamic structure to reflect the spatial organisation of the data and (2) measure task relatedness. Together these give attentional focus making the reasoning relevant to the task.","doi":null,"url":"https://ijcai.org/proceedings/1993/219","pdf":"https://ijcai.org/proceedings/1993/0219.pdf","markdown":"https://ijcai.org/proceedings/1993/219.md","bibtex":"https://ijcai.org/proceedings/1993/bibtex/219","volume":{"slug":"1993","title":"Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1993","url":"https://ijcai.org/proceedings/1993/","year":1993,"location":"Chambéry, France","dates":"","editors":"Ruzena Bajcsy","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Robotics and Vision","track":"Robotics and Vision","number":219,"pages":{"first":1579,"last":1584},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}