Name
Abstract | ||
|---|---|---|
The paper describes the comparison of saliency maps calculated for a specific type of images to the ground truth fixations obtained in eye tracking experiment. The images being analyzed contained camouflaged animals. Because of the camouflage, it was expected that calculation of saliency would be the hard case. Several saliency maps were compared to the ground truth with a set of standard measures and a ranking based on their averaged performance was proposed. The results reveal that for the saliency map models, images of camouflaged animals are harder to analyze than ordinary ones, although, one model - Judd - appeared to work particularly well. Additionally, susceptibility of saliency maps to the perceived difficulty of the camouflage was discussed. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/IPAS.2018.8708858 | 2018 IEEE International Conference on Image Processing, Applications and Systems (IPAS) |
Keywords | Field | DocType |
eye tracking,saliency maps,camouflage,animals | Computer vision,Saliency map,Fixation (psychology),Ranking,Visualization,Salience (neuroscience),Computer science,Eye tracking,Camouflage,Ground truth,Artificial intelligence | Conference |
ISBN | Citations | PageRank |
978-1-7281-0248-1 | 0 | 0.34 |
References | Authors | |
9 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Przemyslaw Skurowski | 1 | 0 | 0.34 |
| Pawel Kasprowski | 2 | 76 | 12.99 |