PET: An Eye-tracking Dataset for Animal-centric PASCAL Object Classes

2016/04/06 by Syed Omer Gilani, Gilani, Syed Omer, Ramanathan Subramanian +9 · 1 citation
Computer Science · #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #cs.HC

paper · pdf · doi:10.48550/arxiv.1604.01574

Int'l Conference on Multimedia and Expo 2015

arxiv created 2016/04/06 · arxiv updated 2016/04/07

Abstract

We present 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 \citekiwon_cvpr13_gaze,PapadopoulosCKF14, 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.

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