Recognition of Untrustworthy Face Images in ATM Sessions using a Bio-inspired Intelligent Network

R. Škoviera, K. Valentín, S. Štolc, I. Bajla

2013

Abstract

The aim of this paper is to report on a pilot application of a bio-inspired intelligent network model, called Hierarchical Temporal Memory (HTM), for recognition (detection) of untrustworthy manipulation with an Automatic Teller Machine (ATM). HTM was used as a crucial part of an anomaly detection system to recognize hard-to-identifiable faces, i.e., faces with a mask, covered with a scarf, or wearing sunglasses. Those types of face occlusion can be a good indicator of potentialy malicious intentions of an ATM user. In the presented system, the Kinect camera was used for acquisition of video image sequences. The Kinect’s depth output along with skeleton tracking was used as a basis of the color image segmentation. To test the proposed system, experiments have been carried out in which several participants performed normal and untrustworthy actions using an ATM simulator. The output of the face classification system can assist a security personnel in surveillance tasks.

Paper Citation

in Harvard Style

Škoviera R., Valentín K., Štolc S. and Bajla I. (2013). Recognition of Untrustworthy Face Images in ATM Sessions using a Bio-inspired Intelligent Network . In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8565-41-9, pages 511-517. DOI: 10.5220/0004195605110517

in Bibtex Style

@conference{icpram13,
author={R. Škoviera and K. Valentín and S. Štolc and I. Bajla},
title={Recognition of Untrustworthy Face Images in ATM Sessions using a Bio-inspired Intelligent Network},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2013},
pages={511-517},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004195605110517},
isbn={978-989-8565-41-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Recognition of Untrustworthy Face Images in ATM Sessions using a Bio-inspired Intelligent Network
SN - 978-989-8565-41-9
AU - Škoviera R.
AU - Valentín K.
AU - Štolc S.
AU - Bajla I.
PY - 2013
SP - 511
EP - 517
DO - 10.5220/0004195605110517