Please use this identifier to cite or link to this item:
Title: Integer arithmetic approximation of the HoG algorithm used for pedestrian detection
Authors: Sladojević, Srđan 
Anderla, Andraš 
Ćulibrk, Dubravko 
Stefanović, Darko 
Lalić, Bojan 
Issue Date: 1-Jun-2017
Journal: Computer Science and Information Systems
Abstract: © 2017 ComSIS Consortium. All rights reserved. This paper presents the results of a study of the effects of integer (fixed-point) arithmetic implementation on classification accuracy of a popular open-source people detection system based on Histogram of Oriented Gradients. It is investigated how the system performance deviates from the reference algorithm performance as integer arithmetic is introduced with different bit-width in several critical parts of the system. In performed experiments, the effects of different bit-width integer arithmetic implementation for four key operations were separately considered: HoG descriptor magnitude calculation, HoG descriptor angle calculation, normalization and SVM classification. It is found that a 13-bit representation of variables is more than sufficient to accurately implement this system in integer arithmetic. The experiments in the paper are conducted for pedestrian detection and the methodology and the lessons learned from this study allow generalization of conclusions to a broader class of applications.
ISSN: 18200214
DOI: 10.2298/CSIS160229011S
Appears in Collections:Naučne i umetničke publikacije

Show full item record


checked on Jan 28, 2023

Page view(s)

checked on Jan 28, 2023

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.