Improved maximum average correlation height filter with adaptive log base selection for object recognition

Tehsin, Sara, Rehman, Saad, Awan, Ahmad, Chaudry, Qaiser, Abbas, Muhammad, Young, Rupert and Asif, Asia (2016) Improved maximum average correlation height filter with adaptive log base selection for object recognition. In: Optical Pattern Recognition XXVII. Proceedings SPIE, 9845 (9845). SPIE, p. 984506.

Full text not available from this repository.


Sensitivity to the variations in the reference image is a major concern when recognizing target objects. A combinational framework of correlation filters and logarithmic transformation has been previously reported to resolve this issue alongside catering for scale and rotation changes of the object in the presence of distortion and noise. In this paper, we have extended the work to include the influence of different logarithmic bases on the resultant correlation plane. The meaningful changes in correlation parameters along with contraction/expansion in the correlation plane peak have been identified under different scenarios. Based on our research, we propose some specific log bases to be used in logarithmically transformed correlation filters for achieving suitable tolerance to different variations. The study is based upon testing a range of logarithmic bases for different situations and finding an optimal logarithmic base for each particular set of distortions. Our results show improved correlation and target detection accuracy.

Item Type: Book Section
Keywords: logarithmic mapping, maximum average correlation height, target detection, correlation pattern recognition.
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1501 Applied optics. Photonics
Depositing User: Rupert Young
Date Deposited: 18 May 2016 10:36
Last Modified: 18 May 2016 10:36
📧 Request an update