A space variant Maximum Average Correlation Height (MACH) filter for object recognition in real time thermal images for security applications

Gardezi, Akber, Alkandri, Ahmad, Birch, Philip, Young, Rupert and Chatwin, Chris (2010) A space variant Maximum Average Correlation Height (MACH) filter for object recognition in real time thermal images for security applications. In: Optics and Photonics for Counterterrorism and Crime Fighting VI and Optical Materials in Defence Systems Technology VII; Toulouse; 20 September 2010 through 23 September 2010;, Toulouse.

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Abstract

We propose a space variant Maximum Average Correlation Height (MACH) filter which can be locally modified depending upon its position in the input frame. This can be used to detect targets in an environment from varying ranges and in unpredictable weather conditions using thermal images. It enables adaptation of the filter dependant on background heat signature variances and also enables the normalization of the filter energy levels. The kernel can be normalized to remove a non-uniform brightness distribution if this occurs in different regions of the image. The main constraint in this implementation is the dependence on computational ability of the system. This can be minimized with the recent advances in optical correlators using scanning holographic memory, as proposed by Birch et al. [1] In this paper we describe the discrimination abilities of the MACH filter against background heat signature variances and tolerance to changes in scale and calculate the improvement in detection capabilities with the introduction of a nonlinearity. We propose a security detection system which exhibits a joint process where human and an automated pattern recognition system contribute to the overall solution for the detection of pre-defined targets. © 2010 SPIE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Proceedings of SPIE - The International Society for Optical Engineering
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Depositing User: Akber Gardezi
Date Deposited: 06 Feb 2012 18:22
Last Modified: 03 Apr 2012 13:42
URI: http://sro.sussex.ac.uk/id/eprint/15990
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