DocumentCode :
3704723
Title :
Infants gaze pattern analyzing using contrast entropy minimization
Author :
Ali Mahdi;Matthew Schlesinger;Dima Amso;Jun Qin
Author_Institution :
Department of Electrical and Computer Engineering, Southern Illinois University, Carbondale, IL 62901
fYear :
2015
Firstpage :
106
Lastpage :
111
Abstract :
Statistical relationships between human vision and natural scene statistics have been addressed. Contrast is fundamental image property. We proposed that infant visual exploration and learning development could be analyzed using contrast entropy minimization. Ten infants viewed 16 naturalistic images. Fixations of the infants were recorded. Infant gaze patterns are compared between individual infants. Infants are compared to the fixations predicted by the contrast entropy minimization. The results show that infant tends to have different gaze patterns, and infant entropy drops gradually as fixations are made.
Keywords :
Robots
Publisher :
ieee
Conference_Titel :
Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2015 Joint IEEE International Conference on
Type :
conf
DOI :
10.1109/DEVLRN.2015.7346124
Filename :
7346124
Link To Document :
بازگشت