International Journal of Computational Intelligence Systems

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Volume 10, Issue 1, 2017, Pages 962 - 969

Crime Hotspot Detection and Monitoring Using Video Based Event Modeling and Mapping Techniques*

Authors
Zou Beiji1, bjzou@csu.edu.cn, Nurudeen Mohammed1, nurudeen_saeed@yahoo.com, Zhu Chengzhang2, †, anandawork@126.com, Zhao Rongchang1
1School of Information Science and Engineering, Central South University, South Lushan Road Changsha, Hunan, 410083, China
2The College of Literature and Journalism, Central South University, South Lushan Road Changsha, Hunan, 410083, China
† Corresponding author: anandawork@126.com
Corresponding Author
Zhu Chengzhanganandawork@126.com
Received 4 October 2016, Accepted 25 May 2017, Available Online 9 June 2017.
DOI
10.2991/ijcis.2017.10.1.64How to use a DOI?
Keywords
Video Event Detection; Neuro-Fuzzy Inference; Crime Mapping; Hotspot Analysis
Abstract

This paper presents a new approach to crime hotspot detection and monitoring. The approach consists of three phases’ namely: video analysis, crime prediction and crime mapping. In video analysis, crime indicator events are modelled using statistical distribution of semantic concepts. In crime prediction, a neuro-fuzzy method is used to model indicator events. In crime mapping, kernel density estimation is used to detect crime hotspots. This approach is tested in a simulated platform using violent scene detection (VSD) 2014 dataset.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
10 - 1
Pages
962 - 969
Publication Date
2017/06/09
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2017.10.1.64How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Zou Beiji
AU  - Nurudeen Mohammed
AU  - Zhu Chengzhang
AU  - Zhao Rongchang
PY  - 2017
DA  - 2017/06/09
TI  - Crime Hotspot Detection and Monitoring Using Video Based Event Modeling and Mapping Techniques*
JO  - International Journal of Computational Intelligence Systems
SP  - 962
EP  - 969
VL  - 10
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2017.10.1.64
DO  - 10.2991/ijcis.2017.10.1.64
ID  - Beiji2017
ER  -