Extraction of visual attention with gaze duration and saliency map

被引:0
|
作者
Igarashi, Hiroshi [1 ]
Suzuki, Satoshi
Sugita, Tetsuro [2 ]
Kurisu, Masamitsu [3 ]
Kakikura, Masayoshi [2 ]
机构
[1] Tokyo Denki Univ, Century COE Project Off 21, Chiyoda Ku, 1202 Akihabara Daibiru, Tokyo, Japan
[2] Tokyo Denki Univ, Dept Elect Engn, 1202 Akihabara Daibiru, Tokyo, Japan
[3] Tokyo Denki Univ, Dept Mech Engn, 1202 Akihabara Daibiru, Tokyo, Japan
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Measurement of gaze is effective to evaluate human operator's attention, one's operation skills, perceptional capability and so on. Especially, gaze duration, called fixation time, is often utilized. Generally, it is said that long fixation time is detected when the operator pays attention to something intentionally. However, the duration also depends on saliency of displayed image, especially humans' perception characteristics are sensitive to intensities of an image. Although a lot of researchers have presented models of visual attention with the saliency map, the high saliency may attract a human gaze even if he/she do not have attention. Therefore, in order to estimate the human attention, we consider human vision characteristics with foveal vision. The foveal vision is used for scrutinizing highly detailed objects, and it also may relate to the attention. In this paper, we propose a new approach to estimate human visual attention by checking gaze duration and a saliency map considering human foveal vision characteristics. The estimation technique was experimented with five participants, and as the results, we found the technique makes aware of the attention more than conventional technique which considers only gaze duration.
引用
收藏
页码:291 / +
页数:2
相关论文
共 50 条
  • [1] The visual attention saliency map for movie retrospection
    Rogalska, Anna
    Napieralski, Piotr
    OPEN PHYSICS, 2018, 16 (01): : 188 - 192
  • [2] Image Modification Based on a Visual Saliency Map for Guiding Visual Attention
    Takimoto, Hironori
    Kokui, Tatsuhiko
    Yamauchi, Hitoshi
    Kishihara, Mitsuyoshi
    Okubo, Kensuke
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2015, E98D (11): : 1967 - 1975
  • [3] Analysis and Realization of Saliency Map Based on Visual Attention Mechanism
    Hu, Yaqi
    Meng, Fang
    2012 5TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), 2012, : 415 - 419
  • [4] Synergetic object recognition based on visual attention saliency map
    Shao, Jing
    Gao, Jun
    Yang, Jing
    2006 IEEE INTERNATIONAL CONFERENCE ON INFORMATION ACQUISITION, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, 2006, : 660 - 665
  • [5] An Improved Model of Producing Saliency Map for Visual Attention System
    Huang, Jingang
    Kong, Bin
    Cheng, Erkang
    Zheng, Fei
    ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF CONTEMPORARY INTELLIGENT COMPUTING TECHNIQUES, 2008, 15 : 423 - 431
  • [6] Joint Attention by Gaze Interpolation and Saliency
    Yucel, Zeynep
    Salah, Albert Ali
    Mericli, Cetin
    Mericli, Tekin
    Valenti, Roberto
    Gevers, Theo
    IEEE TRANSACTIONS ON CYBERNETICS, 2013, 43 (03) : 829 - 842
  • [7] Fast Visual Saliency Map Extraction from Digital Video
    Xu, Shilin
    Lin, Weisi
    Kuo, C-C Jay
    2009 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, 2009, : 337 - +
  • [8] Identification of Visual Attention Regions in Machine Vision Using Saliency Map
    Kounte, Manjunath R.
    Sujatha, B. K.
    2015 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP), 2015, : 639 - 643
  • [9] Visual Saliency Detection Based on Global Guidance Map and Background Attention
    Peng, Yanbin
    Feng, Mingkun
    Zhai, Zhinian
    IEEE ACCESS, 2024, 12 : 95434 - 95446
  • [10] Backlight dimming based on saliency map acquired by visual attention analysis
    Ahn, Yong Deok
    Kang, Suk-Ju
    DISPLAYS, 2017, 50 : 70 - 77