System of Feature Extraction for Video Pattern Recognition on FPGA

O. Molchanov, M. Orlova, A. Sergiyenko, P. Serhiienko. System of Feature Extraction for Video Pattern Recognition on FPGA // IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON). 2019. P. 1175-1178.

Abstract — A system is proposed for image recognition in a
video stream, such as inscriptions, road signs. It is able to
recognize the patterns in the complex lighting conditions due to
processing the high dynamic range (HDR) signals. The image
feature extraction is based on the method, which originated
from the Retinex method but is adapted to the HDR images.
Due to the new method, the bilateral filter is exchanged to the
2D edge-preserving adaptive filter. The filter output gives
information for the feature extraction detectors. The
experimental HDR video camera with the feature extraction is
built around the Lattice HDR-60 board.

Keywords—FPGA, HDR, feature extraction, bilateral filter