Rapid detection of targets from complex backgrounds based on eye-tracking data

Yichuan Jiang, Xinyu Chen, Hui Liu, Yue Leng, Yuankui Yang, Pan Lin, Junfeng Gao, Ruiming Wang, Keiji Iramina, Sheng Ge

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

Abstract

In this study1, we used a remote eye-tracker in a head-free setting to measure target detection in visual scenes. Participants underwent two kinds of tasks that were designed to simulate different situations and to study the validity and accuracy of the remote eye-tracking system. We found that the average target detection rate in the simulation task reached 88.95%, whereas in the real scene task the average accuracy was 83.20%. Our results show that the remote eye-tracker possesses enough precision to be used for the measurement of target detection in complex visual scenes.

Original languageEnglish
Title of host publicationProceedings of 2nd International Conference on Computer Science and Application Engineering, CSAE 2018
EditorsAli Emrouznejad
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450365123
DOIs
Publication statusPublished - Oct 22 2018
Event2nd International Conference on Computer Science and Application Engineering, CSAE 2018 - Hohhot, China
Duration: Oct 22 2018Oct 24 2018

Publication series

NameACM International Conference Proceeding Series

Other

Other2nd International Conference on Computer Science and Application Engineering, CSAE 2018
CountryChina
CityHohhot
Period10/22/1810/24/18

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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