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Proceedings Paper

Comparative analysis of zero aliasing logarithmic mapped optimal trade-off correlation filter
Author(s): Sara Tehsin; Saad Rehman; Ahmed Bilal; Qaiser Chaudry; Omer Saeed; Muhammad Abbas; Rupert Young
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Paper Abstract

Correlation filters are a well established means for target recognition tasks. However, the unintentional effect of circular correlation has a negative influence on the performance of correlation filters as they are implemented in frequency domain. The effects of aliasing are minimized by introducing zero aliasing constraints in the template and test image. In this paper, the comparative analysis of logarithmic zero aliasing optimal trade off correlation filters has been carried out for different types of target distortions. The zero aliasing Maximum Average Correlation Height (MACH) filter has been identified as the best choice based on our research for achieving enhanced results in the presence of any type of variance which are discussed in results section. The reformulation of the MACH expressions with zero aliasing has been made to demonstrate the achievable enhancement to the logarithmic MACH filter in target detection applications.

Paper Details

Date Published: 1 May 2017
PDF: 16 pages
Proc. SPIE 10203, Pattern Recognition and Tracking XXVIII, 1020305 (1 May 2017); doi: 10.1117/12.2261439
Show Author Affiliations
Sara Tehsin, National Univ. of Sciences and Technology (Pakistan)
Saad Rehman, National Univ. of Sciences and Technology (Pakistan)
Ahmed Bilal, National Univ. of Sciences and Technology (Pakistan)
Qaiser Chaudry, National Univ. of Sciences and Technology (Pakistan)
Omer Saeed, National Univ. of Sciences and Technology (Pakistan)
Muhammad Abbas, National Univ. of Sciences and Technology (Pakistan)
Rupert Young, Univ. of Sussex (United Kingdom)

Published in SPIE Proceedings Vol. 10203:
Pattern Recognition and Tracking XXVIII
Mohammad S. Alam, Editor(s)

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