A novel method of Visual Attention for Targets Detection

DOI

10.2991/isccca.2013.208How to use a DOI?

Keywords

target detection, visual attention mechanism,two-way collaborative mechanism

Abstract

Inspired by the research of human visual system in neuroanatomy and psychology, the paper proposes a two-way collaborative visual attention model for target detection.In this new method , bottom-up attention information cooperates with top-down attention information to detect a target rapidly and accuractly. Firstly,the statistical prior knowledge of target and background is applied to optimize bottom-up attention information in different feature space and scale space.Secondly, after the SNR of salience difference between target and interference is computed ,the bottom-up gain factor is obtained.Thirdly, the gain factor is applied to adjust bottom up attention information extraction and then to maximize the salience contrast of target and background.Finally, target is detected by adjusted saliency.Experimental results shows that the proposed model in this paper can improve the real-time capability and reliability of target detection.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhuo Zhang
AU  - Xinnan Fan
AU  - Xuewu Zhang
AU  - Haiyan Xu
AU  - Min Li
PY  - 2013/02
DA  - 2013/02
TI  - A novel method of Visual Attention for Targets Detection
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 826
EP  - 829
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.208
DO  - 10.2991/isccca.2013.208
ID  - Zhang2013/02
ER  -