A low complexity algorithm for eye detection and tracking in energy-constrained applications

Author

Ando, Takehiro ; Moshnyaga, Vasily G.

Author_Institution

OKI Semicond., Japan

fYear

2013

Firstpage

1

Lastpage

4

Abstract

This paper presents a low-complexity algorithm of non-intrusive real time eye-tracking by a single camera. The algorithm employs the feature-based approach, scanning a seven-segment rectangular filter over the input image to find the Between-The-Eyes pattern of human face and locating eyes within the pattern. Unlike related methods it neither uses computationally expensive cascades of Adaboost classifiers nor SVM template matching, while detecting eye with high accuracy. We implemented the algorithm and present the results of its experimental evaluation.

Keywords

cameras; computer vision; eye; filters; learning (artificial intelligence); support vector machines; Adaboost classifiers; SVM template matching; computationally expensive cascades; energy-constrained application; eye detection; feature-based approach; human face; low complexity algorithm; nonintrusive real time eye-tracking; seven-segment rectangular filter; single camera; Accuracy; Cameras; Classification algorithms; Face; Filtering algorithms; Image segmentation; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Signal Processing, and their Applications (ICCSPA), 2013 1st International Conference on

Conference_Location

Sharjah

Print_ISBN

978-1-4673-2820-3

Type

conf

DOI

10.1109/ICCSPA.2013.6487228

Filename

6487228