A soft-computing-based approach to artificial visual attention using human eye-fixation paradigm: toward a human-like skill in robot vision-Reference-Cited by-同舟云学术

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A soft-computing-based approach to artificial visual attention using human eye-fixation paradigm: toward a human-like skill in robot vision

Published:2017-11-18 Issue:7 Volume:23 Page:2369-2389
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Madani Kurosh,Kachurka Viachaslau,Sabourin Christophe,Golovko Vladimir

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-017-2931-x.pdf

Reference48 articles.

1. Achanta R, Estrada F, Wils P, Susstrunk S (2008) Salient Region Detection and Segmentation. In: Proceedings of international conference on computer vision systems, vol 5008, LNCS, Springer, Berlin/Heidelberg, pp 66–75

2. Achanta R, Hemami S, Estrada F, Susstrunk S (2009) Frequency-tuned Salient Region Detection. In: Proceedings of IEEE international conference on computer vision and pattern recognition, pp 1597–1604

3. Borji A, Tavakoli HR, Sihite DN, Itti L (2013a) Analysis of scores, datasets, and models in visual saliency prediction. In: Proceedings of IEEE ICCV, pp 921–928

4. Borji A, Itti L (2013) State-of-the-art in visual attention modeling. IEEE Trans Pattern Anal Mach Intell 35(1):185–207

5. Borji A, Sihite DN, Itti L (2013) Quantitative analysis of human-model agreement in visual saliency modeling: a comparative study. IEEE Trans Image Process 22(1):55–69

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