Vehicle monitoring under Vehicular Ad-Hoc Networks 2016.pdf (779.51 kB)
Vehicle monitoring under Vehicular Ad-Hoc Networks (VANET) parameters employing illumination invariant correlation filters for the Pakistan motorway police
conference contribution
posted on 2023-06-09, 01:09 authored by A Gardezi, T Umer, F Butt, Rupert YoungRupert Young, Chris ChatwinChris ChatwinA 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.
History
Publication status
- Published
File Version
- Accepted version
Journal
Proceedings of SPIE Defense + Security 2016 on Optical Pattern Recognition; Baltimore, MD , United States; 17-21 April 2016Publisher
SPIEExternal DOI
Issue
984508Volume
XXVIIPage range
1-13ISBN
9781510600867Department affiliated with
- Engineering and Design Publications
Research groups affiliated with
- Industrial Informatics and Signal Processing Research Group Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2016-05-09First Open Access (FOA) Date
2017-07-13First Compliant Deposit (FCD) Date
2017-07-13Usage metrics
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