Name
Abstract | ||
|---|---|---|
The modern computer vision systems usually scan the image over positions and scales to detect a predefined object, whereas the human vision system performs this task in a more intuitive and efficient manner by selecting only a few regions to fixate on. A comprehensive understanding of human search will benefit computer vision systems in search modeling. In this paper, we investigate the contributions of the sources that affect human eye scan path while observers perform a search task in real scenes. The examined sources include saliency, task guidance, and oculomotor bias. Both their influence on each consecutive pair fixations and on the entire scan path are evaluated. The experimental results suggest that the influences of task guidance and oculomotor bias are comparable, and that of saliency is rather low. They also show that we could use these sources to predict not only where humans look in the image but also the order of their visiting. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-22822-3_45 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Keywords | Field | DocType |
comprehensive understanding,oculomotor bias,real scene,modern computer vision system,human eye,task guidance,computer vision system,search modeling,search task,human vision system,human search | Edit distance,Human eye,Computer vision,Fixation (psychology),Machine vision,Pattern recognition,Salience (neuroscience),Computer science,Artificial intelligence | Conference |
Volume | Issue | ISSN |
6468 LNCS | PART1 | 16113349 |
Citations | PageRank | References |
1 | 0.38 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chen Chi | 1 | 1 | 0.38 |
| Laiyun Qing | 2 | 337 | 24.66 |
| Jun Miao | 3 | 220 | 22.17 |
| Xilin Chen | 4 | 6291 | 306.27 |