Vehicle monitoring under Vehicular Ad-Hoc Networks (VANET) parameters employing illumination invariant correlation filters for the Pakistan motorway police

Gardezi, A, Umer, T, Butt, F, Young, R and Chatwin, C (2016) Vehicle monitoring under Vehicular Ad-Hoc Networks (VANET) parameters employing illumination invariant correlation filters for the Pakistan motorway police. Published in: Proceedings of SPIE Defense + Security 2016 on Optical Pattern Recognition; Baltimore, MD , United States; 17-21 April 2016. XXVII (984508) 1-13. SPIE ISBN 9781510600867

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Abstract

A spatial domain optimal trade-off Maximum Average Correlation Height (SPOT-MACH) filter has been previously developed and shown to have advantages over frequency domain implementations in that it can be made locally adaptive to spatial variations in the input image background clutter and normalised for local intensity changes. The main concern for using the SPOT-MACH is its computationally intensive nature. However, in the past enhancement techniques were proposed for the SPOT-MACH to make its execution time comparable to its frequency domain counterpart. In this paper a novel approach is discussed which uses VANET parameters coupled with the SPOT-MACH in order to minimise the extensive processing of the large video dataset acquired from the Pakistan motorways surveillance system. The use of VANET parameters gives us an estimation criterion of the flow of traffic on the Pakistan motorway network and acts as a precursor to the training algorithm. The use of VANET in this scenario would contribute heavily towards the computational complexity minimization of the proposed monitoring system.

Item Type: Conference Proceedings
Keywords: MACH filter, VANET, correlation filter, invariant pattern recognition
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Research Centres and Groups: Industrial Informatics and Signal Processing Research Group
Subjects: Q Science > QA Mathematics > QA0075 Electronic computers. Computer science
Q Science > QA Mathematics > QA0076 Computer software
T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK0452 Electric apparatus and materials. Electric circuits. Electric networks
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Depositing User: Chris Chatwin
Date Deposited: 09 May 2016 12:36
Last Modified: 13 Jul 2017 07:21
URI: http://sro.sussex.ac.uk/id/eprint/60809

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