Unauthorised person recognition using gait biometry and information analysis: integration and transparency of security operations in a centralised intelligence environment Online publication date: Sat, 26-Jan-2008
by Konstantinos Kardaras, Zacharias Kamarianakis, Andrew Chanerley, Dimitris Koutsouris
International Journal of Electronic Security and Digital Forensics (IJESDF), Vol. 1, No. 2, 2007
Abstract: This paper shows how unique behavioural walking identification properties can be used to recognise unauthorised and suspicious persons when they enter a surveillance/recognition area. Specific gait properties will be examined in order to make clear the impact in the recognition accuracy. The system that is proposed comprise of various parts that operate either as stand alone capacities or as an integral part of a greater system. The two main entities of the system are the gait recognition and the information analysis module. The intelligent automated process in the information analysis enforces the public safety authorities to make simultaneous threat assessments based on complex search queries. The information and the functionalities of the system are delivered to the user through an integrated software solution that provides transparency for the majority of security operations. The integrated solution can be used for real time monitoring as well as for access control at sites of high risk.
Online publication date: Sat, 26-Jan-2008
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