Eigengaze : covert behavioral biometric exploiting visual attention characteristics
| Contribuinte(s) |
Boashash, Boualem Hamila, Ridha Salleh, Sheikh Hussain Shaikh Bakar, Syed Abd Rahman Abu |
|---|---|
| Data(s) |
2010
|
| Resumo |
It is possible for the visual attention characteristics of a person to be exploited as a biometric for authentication or identification of individual viewers. The visual attention characteristics of a person can be easily monitored by tracking the gaze of a viewer during the presentation of a known or unknown visual scene. The positions and sequences of gaze locations during viewing may be determined by overt (conscious) or covert (sub-conscious) viewing behaviour. This paper presents a method to authenticate individuals using their covert viewing behaviour, thus yielding a unique behavioural biometric. A method to quantify the spatial and temporal patterns established by the viewer for their covert behaviour is proposed utilsing a principal component analysis technique called `eigenGaze'. Experimental results suggest that it is possible to capture the unique visual attention characteristics of a person to provide a simple behavioural biometric. |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
IEEE |
| Relação |
http://eprints.qut.edu.au/40884/1/40884.pdf DOI:10.1109/ISSPA.2010.5605585 Fookes, Clinton B. & Sridharan, Sridha (2010) Eigengaze : covert behavioral biometric exploiting visual attention characteristics. In Boashash, Boualem, Hamila, Ridha, Salleh, Sheikh Hussain Shaikh, & Bakar, Syed Abd Rahman Abu (Eds.) Proceedings of 10th International Conference on Information Science, Signal Processing and their Applications, IEEE, Renaissance Hotel, Kuala Lumpur, pp. 654-657. |
| Direitos |
Copyright 2010 IEEE Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
| Fonte |
Faculty of Built Environment and Engineering; School of Engineering Systems |
| Palavras-Chave | #080104 Computer Vision #090609 Signal Processing #Covert Behavioral Biometric #eigenGaze #Individual Authentication #Individual Identification #Visual Attention Characteristics |
| Tipo |
Conference Paper |
