@inproceedings{00f5e9b78145496d85d50e2ccf41d26d,
title = "Evaluation of Saliency Maps in a Hard Case - Images of Camouflaged Animals",
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.",
keywords = "animals, camouflage, eye tracking, saliency maps",
author = "Przemys{\l}aw Skurowski and Pawe{\l} Kasprowski",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 3rd IEEE International Conference on Image Processing, Applications and Systems, IPAS 2018 ; Conference date: 12-12-2018 Through 14-12-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/IPAS.2018.8708858",
language = "English",
series = "IEEE 3rd International Conference on Image Processing, Applications and Systems, IPAS 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "244--249",
booktitle = "IEEE 3rd International Conference on Image Processing, Applications and Systems, IPAS 2018",
address = "United States",
}