Hardware emulation of HOG and AMDF based scale and rotation invariant robust shape detection

Author

Peker, Murat ; Altun, Halis ; Karakaya, Fuat

Author_Institution

Electrical and Electronics Engineering, Niğde University, Nigde, Turkey

fYear

2012

fDate

10-11 Oct. 2012

Firstpage

1

Lastpage

5

Abstract

In this study, a hardware emulation of HOG and AMDF based scale and rotation invariant robust shape detection for Field Programmable Gate Arrays (FPGA) is described. For this purpose, a robust algorithm with light-computational load has been developed based on features extracted from histogram of oriented gradients (HOG). A normalization scheme is proposed to obtain scale-invariant robust features using HOG algorithm. Also a novel method for shape detection is proposed using Average Magnitude Difference Function (AMDF) which leads to a rotation-invariant and computationally light shape detection method. It is shown that the proposed method is robust against noise as well. Also it is indicated that the performance of the method is highly satisfactory for implementation on real-life industrial problems.

Keywords

feature extraction; field programmable gate arrays; object detection; shape recognition; AMDF based rotation invariant robust shape detection; AMDF based scale invariant robust shape detection; FPGA; HOG algorithm; average magnitude difference function; feature extraction; field programmable gate arrays; hardware emulation; histogram-of-oriented gradients; normalization scheme; real-life industrial problems; Approximation methods; Feature extraction; Field programmable gate arrays; Hardware; Histograms; Noise; Shape; Average Magnitude Difference Function (AMDF); FPGA; Histogram of Oriented Gradients (HOG); Shape detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering and Technology (ICET), 2012 International Conference on

Conference_Location

Cairo

Print_ISBN

978-1-4673-4808-9

Type

conf

DOI

10.1109/ICEngTechnol.2012.6396145

Filename

6396145