Computational Models of Human Visual Attention and Their Implementations: A Survey

Akisato KIMURA  Ryo YONETANI  Takatsugu HIRAYAMA  

IEICE TRANSACTIONS on Information and Systems   Vol.E96-D   No.3   pp.562-578
Publication Date: 2013/03/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E96.D.562
Print ISSN: 0916-8532
Type of Manuscript: INVITED SURVEY PAPER
human visual attention,  computational model,  saliency,  bottom-up,  top-down,  

Full Text: FreePDF(3MB)

We humans are easily able to instantaneously detect the regions in a visual scene that are most likely to contain something of interest. Exploiting this pre-selection mechanism called visual attention for image and video processing systems would make them more sophisticated and therefore more useful. This paper briefly describes various computational models of human visual attention and their development, as well as related psychophysical findings. In particular, our objective is to carefully distinguish several types of studies related to human visual attention and saliency as a measure of attentiveness, and to provide a taxonomy from several viewpoints such as the main objective, the use of additional cues and mathematical principles. This survey finally discusses possible future directions for research into human visual attention and saliency computation.