Title :
A low complexity algorithm for eye detection and tracking in energy-constrained applications
Author :
Ando, Takehiro ; Moshnyaga, Vasily G.
Author_Institution :
OKI Semicond., Japan
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;
Conference_Titel :
Communications, Signal Processing, and their Applications (ICCSPA), 2013 1st International Conference on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4673-2820-3
DOI :
10.1109/ICCSPA.2013.6487228
