A novel method of Visual Attention for Targets Detection
Zhuo Zhang, Xinnan Fan, Xuewu Zhang, Haiyan Xu, Min Li
Available Online February 2013.
- https://doi.org/10.2991/isccca.2013.208How to use a DOI?
- target detection, visual attention mechanism,two-way collaborative mechanism
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/isccca.2013.208 ID - Zhang2013/02 ER -