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.

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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 (Presented at SPIE Defense + Commercial Sensing: April 15, 2019; Published: 13 May 2019); https://doi.org/10.1117/12.2519497.