A Top-Down and Bottom-Up Visual Attention Model for Humanoid Object Approaching and Obstacle Avoidance

2016 ◽  
Author(s):  
Hendry Ferreira Chame ◽  
Christine Chevallereau
Keyword(s):  
Visual Attention ◽  
Obstacle Avoidance ◽  
Top Down ◽  
Bottom Up ◽  
Visual Attention Model ◽  
Attention Model

A Novel Method of Visual Attention for Targets Detection

2013 ◽  
Vol 347-350 ◽  
pp. 3764-3768 ◽  
Author(s):  
Zhuo Zhang ◽  
Xin Nan Fan ◽  
Xue Wu Zhang ◽  
Hai Yan Xu ◽  
Min Li
Keyword(s):  
Visual Attention ◽  
Information Extraction ◽  
Feature Space ◽  
Gain Factor ◽  
Top Down ◽  
Bottom Up ◽  
Attention Model ◽  
Proposed Model ◽  
Novel Method ◽  
Statistical Prior

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.

Bottom-up spatiotemporal visual attention model for video analysis

2007 ◽  
Vol 1 (2) ◽  
pp. 237 ◽  
Author(s):  
K. Rapantzikos ◽  
N. Tsapatsoulis ◽  
Y. Avrithis ◽  
S. Kollias
Keyword(s):  
Visual Attention ◽  
Video Analysis ◽  
Bottom Up ◽  
Visual Attention Model ◽  
Attention Model
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