Gaze tracking based on run length coding

Author

Sheela, S.V. ; Vijaya, P.A.

Author_Institution

B M S Coll. of Eng., Bangalore, India

fYear

2011

fDate

7-9 April 2011

Firstpage

1

Lastpage

6

Abstract

Eye gaze determines the view point, focus of attention and interest of an individual. Gaze estimation systems compute the direction of eye gaze. These systems play an important role in human-computer interaction. The gaze pointing systems is a replacement for existing input devices in gaze communication applications. The gaze tracking methods are based on interpolation, 2D geometric transform mapping, edge change ratio in successive frames and singular value decomposition. This paper discusses a robust, less computational gaze tracking method using run length coding. 94.5% recognition rate of gaze direction is achieved using run length coding.

Keywords

estimation theory; face recognition; geometry; human computer interaction; image coding; singular value decomposition; transforms; 2D geometric transform mapping; computational gaze tracking method; eye gaze direction; gaze communication applications; gaze estimation system; gaze pointing systems; gaze tracking; human-computer interaction; run length coding; singular value decomposition; Encoding; Estimation; Head; Iris; Iris recognition; Pixel; Shape; Gaze direction; Region growing; Run length coding; Similarity score;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Computing and Systems (ICMCS), 2011 International Conference on

Conference_Location

Ouarzazate

ISSN

Pending

Print_ISBN

978-1-61284-730-6

Type

conf

DOI

10.1109/ICMCS.2011.5945682

Filename

5945682