Search:
Computing and Library Services - delivering an inspiring information environment

Head Curve Matching and Graffiti Detection

Wang, Jing, Xu, Zhijie and O'Grady, Michael (2010) Head Curve Matching and Graffiti Detection. In: British Machine Vision Conference 2010, 31st August - 3rd September 2010, Aberystwyth, UK. (Unpublished)

[img] PDF - Accepted Version
Restricted to Repository staff only

Download (19MB)

Abstract

Vandalism is a type of the so-called low intensity crimes. However, the nuisance and damage caused by it could cost dearly to the public to clean up. It is also technically difficult in the past to detect and prosecute such a crime, for example, graffiti making. This paper presents an automatic and live graffiti detection system using CCTV cameras and innovative vision algorithms. After a brief introduction on the problem domain, the paper proceeds to proposing a system prototype through highlighting its essential operations such as human shape and head curve recognition for triggering the follow-up operations of graffiti detection. The research methodology, the devised algorithms, and the experiment designs are then explained in details. The experiments in this programme are based on real CCTV footages recorded at a bus station. The result shows that the proposed system can detect graffiti-making actions and to locate graffiti occurring areas effectively under most live illumination conditions and is a practical solution for the design of intelligent real-time CCTV surveillance systems.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General)
Schools: School of Computing and Engineering
School of Computing and Engineering > High-Performance Intelligent Computing > Visualisation, Interaction and Vision
School of Computing and Engineering > Diagnostic Engineering Research Centre
School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
School of Computing and Engineering > High-Performance Intelligent Computing
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
Related URLs:
Depositing User: Cherry Edmunds
Date Deposited: 16 Jul 2010 15:32
Last Modified: 23 Aug 2015 10:56
URI: http://eprints.hud.ac.uk/id/eprint/8154

Downloads

Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©