We describe the challenge of combining continuous computer vision techniques and qualitative, symbolic methods to achieve a system capable of cognitive vision. Key to a truly cognitive system, is the ability to learn: to be able to build and use models constructed autonomously from sensory input. In this paper we overview a number of steps we have taken along the route to the construction of such a system, and discuss some remaining challenges.
|Title of host publication||Cognitive Vision Systems|
|Subtitle of host publication||Sampling the Spectrum of Approaches|
|Editors||Henrik Christensen, Hans-Hellmut Nagel|
|Place of Publication||Germany|
|Number of pages||26|
|Publication status||Published - 1 Dec 2006|
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|