DocumentCode :
729744
Title :
PET: An eye-tracking dataset for animal-centric Pascal object classes
Author :
Gilani, Syed Omer ; Subramanian, Ramanathan ; Yan Yan ; Melcher, David ; Sebe, Nicu ; Winkler, Stefan
Author_Institution :
Nat. Univ. of Sci. & Technol., Islamabad, Pakistan
fYear :
2015
fDate :
June 29 2015-July 3 2015
Firstpage :
1
Lastpage :
6
Abstract :
We present PET- the Pascal animal classes Eye Tracking database. Our database comprises eye movement recordings compiled from forty users for the bird, cat, cow, dog, horse and sheep trainval sets from the VOC 2012 image set. Different from recent eye-tracking databases such as [1, 2], a salient aspect of PET is that it contains eye movements recorded for both the free-viewing and visual search task conditions. While some differences in terms of overall gaze behavior and scanning patterns are observed between the two conditions, a very similar number of fixations are observed on target objects for both conditions. As a utility application, we show how feature pooling around fixated locations enables enhanced (animal) object classification accuracy.
Keywords :
eye; gaze tracking; image classification; PET; VOC 2012 image set; animal-centric pascal object class; eye movement recording; eye-tracking dataset; free-viewing; object classification; visual search; Accuracy; Animals; Object detection; Positron emission tomography; Search problems; Training; Visualization; Animal-centric object classes; Eye movements; Free-viewing vs. Visual search; PET; Pascal VOC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo (ICME), 2015 IEEE International Conference on
Conference_Location :
Turin
Type :
conf
DOI :
10.1109/ICME.2015.7177450
Filename :
7177450
Link To Document :
بازگشت