Name
Abstract | ||
|---|---|---|
Goal-directed guidance of gaze control based on coordinated task and stimulus parameters is essential for steering a mobile cognitive system efficiently and autonomously through the real world. This paper focuses on coordination mechanisms of top-down and bottom-up attentional allocation, with particular consideration of the current local environment. The top-down attention selection in the task-space and the bottom-up attention selection in the image-space is evaluated and combined using information theory. An information-based scene context classification considering scene dynamics is proposed to bias attention selection, which is the main contribution of this paper. Experiments are conducted to evaluate the performance. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICPR.2008.4761033 | ICPR |
Keywords | Field | DocType |
mobile cognitive system,mobile robots,information theory,image classification,top-down attention selection,goal-directed guidance,information-based gaze control adaptation,robot vision,top down,robots,visualization,entropy,pixel,bottom up,planning,mobile robot | Information theory,Computer vision,Gaze,Computer science,Visualization,Cognitive systems,Pixel,Artificial intelligence,Contextual image classification,Robot,Mobile robot | Conference |
ISSN | ISBN | Citations |
1051-4651 E-ISBN : 978-1-4244-2175-6 | 978-1-4244-2175-6 | 1 |
PageRank | References | Authors |
0.37 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tingting Xu | 1 | 123 | 9.59 |
| Kolja Kühnlenz | 2 | 430 | 40.87 |
| Martin Buss | 3 | 1799 | 159.02 |