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Application of a brain inspired model for profiling multi-view crime patterns

conference contribution
posted on 2010-01-01, 00:00 authored by Yee Ling Boo, D Alahakoon
With the massive amount of crime data generated daily, this has put law enforcement under intensive stress. This means that law enforcement has to compete against the time to solve crime. In addition, the focus of crime investigation has been expanded from the ability to catch the criminals towards the ability to act before a crime happens (i.e pre-crime). Given such situation, creation of crime profiles is very important to law enforcement, especially in understanding the behaviours of criminals and identifying the characteristics of similar crimes. In fact, crime profiles could be used to solve similar crimes and thus pre-crime action could be conducted. In this paper, a brain inspired conceptual model is proposed and a structurally adaptive neural network is deployed for its implementation. Subsequently, the proposed model is applied for the identification and presentation of multi-view crime patterns. Such multi-view crime patterns could be useful for the construction of crime profiles. Moreover, the suitability of the proposed model in crime profiling is discussed and demonstrated through some experimental results.

History

Event

IEEE International Conference on Information and Automation for Sustainability (5th : 2010 : Colombo, Sri Lanka)

Pagination

493 - 498

Publisher

IEEE

Location

Colombo, Sri Lanka

Place of publication

Piscataway, N.J.

Start date

2010-12-17

End date

2010-12-19

ISBN-13

9781424485512

ISBN-10

1424485517

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2010 IEEE

Editor/Contributor(s)

M [Halgamuge

Title of proceedings

ICIAFS 2010 : Proceedings of the 2010 5th International Conference on Information and Automation for Sustainability : Sustainable Development through Effective Man-machine Co-existence

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