Hardware design of correlation filters for target detection

Naeem Akbar; Sara Tehsin; Haseeb ur Rehman; Saad Rehman; Rupert Young

doi:10.1117/12.2519497

13 May 2019 Hardware design of correlation filters for target detection

Naeem Akbar, Sara Tehsin, Haseeb ur Rehman, Saad Rehman, Rupert Young

Proceedings Volume 10995, Pattern Recognition and Tracking XXX; 109950E (2019) https://doi.org/10.1117/12.2519497
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

Correlation filters due to its three protuberant advantages have proven very effective for automatic target detection, biometric verification and security applications. In this paper, correlation filters are implemented in hardware FPGA keeping in view their importance in real time applications. Hardware implementation results are placed in comparison with results generated through software. These results are almost similar with a negligible variation i.e. 10^-4, which is demonstrated in the experimental section, in addition to valuable time reduction. The hardware design of these filters is implemented in LabView which can be subsequently employed in real-time security applications. This design may be expanded for other advanced variants of correlation filters in future work.

Conference Presentation

Citation Download Citation

Naeem Akbar, Sara Tehsin, Haseeb ur Rehman, Saad Rehman, and Rupert Young "Hardware design of correlation filters for target detection ", Proc. SPIE 10995, Pattern Recognition and Tracking XXX, 109950E (13 May 2019); https://doi.org/10.1117/12.2519497

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available