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

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抜粋

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.

元の言語英語
ホスト出版物のタイトルProceedings of 2nd International Conference on Computer Science and Application Engineering, CSAE 2018
編集者Ali Emrouznejad
出版者Association for Computing Machinery
ISBN(電子版)9781450365123
DOI
出版物ステータス出版済み - 10 22 2018
イベント2nd International Conference on Computer Science and Application Engineering, CSAE 2018 - Hohhot, 中国
継続期間: 10 22 201810 24 2018

出版物シリーズ

名前ACM International Conference Proceeding Series

その他

その他2nd International Conference on Computer Science and Application Engineering, CSAE 2018
中国
Hohhot
期間10/22/1810/24/18

All Science Journal Classification (ASJC) codes

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

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  • これを引用

    Jiang, Y., Chen, X., Liu, H., Leng, Y., Yang, Y., Lin, P., Gao, J., Wang, R., Iramina, K., & Ge, S. (2018). Rapid detection of targets from complex backgrounds based on eye-tracking data. : A. Emrouznejad (版), Proceedings of 2nd International Conference on Computer Science and Application Engineering, CSAE 2018 [a116] (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3207677.3278051