PET: An eye-tracking dataset for animal-centric Pascal object classes

Syed Omer Gilani, Ramanathan Subramanian, Yan Yan, David Melcher, Nicu Sebe, Stefan Winkler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Multimedia and Expo, ICME 2015
PublisherIEEE Computer Society
ISBN (Electronic)9781479970827
DOIs
StatePublished - Aug 4 2015
EventIEEE International Conference on Multimedia and Expo, ICME 2015 - Turin, Italy
Duration: Jun 29 2015Jul 3 2015

Publication series

NameProceedings - IEEE International Conference on Multimedia and Expo
Volume2015-August
ISSN (Print)1945-7871
ISSN (Electronic)1945-788X

Conference

ConferenceIEEE International Conference on Multimedia and Expo, ICME 2015
CountryItaly
CityTurin
Period6/29/157/3/15

Keywords

  • Animal-centric object classes
  • Eye movements
  • Free-viewing vs. Visual search
  • PET
  • Pascal VOC

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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  • Cite this

    Gilani, S. O., Subramanian, R., Yan, Y., Melcher, D., Sebe, N., & Winkler, S. (2015). PET: An eye-tracking dataset for animal-centric Pascal object classes. In 2015 IEEE International Conference on Multimedia and Expo, ICME 2015 [7177450] (Proceedings - IEEE International Conference on Multimedia and Expo; Vol. 2015-August). IEEE Computer Society. https://doi.org/10.1109/ICME.2015.7177450