Application of soft Histogram of Oriented Gradient on traffic sign detection

Peyman Hosseinzadeh Kassani; Junhyuk Hyun; Euntai Kim

doi:10.1109/URAI.2016.7734067

Application of soft Histogram of Oriented Gradient on traffic sign detection

Peyman Hosseinzadeh Kassani, Junhyuk Hyun, Euntai Kim

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

The proposal of this study is introducing a new feature, called soft Histogram of Oriented Gradients (SHOG). This feature is designed for traffic sign detection. SHOG differs from traditional (hard) HOG in terms of symmetry information and cell of histogram positions. Unlike hard HOG, SHOG changes the positions of cells to a randomized selection of cells following by symmetry shapes of the traffic sign images. SHOG is implemented on the famous German traffic sign detection benchmark (GTSDB) dataset. Comparing to the conventional HOG feature experimented on GTSDB, SHOG could show better performance while uses smaller feature size.

Original language	English
Title of host publication	2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	388-392
Number of pages	5
ISBN (Electronic)	9781509008216
DOIs	https://doi.org/10.1109/URAI.2016.7734067
Publication status	Published - 2016 Oct 21
Event	13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016 - Xian, China Duration: 2016 Aug 19 → 2016 Aug 22

Publication series

Name	2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016

Other

Other	13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016
Country	China
City	Xian
Period	16/8/19 → 16/8/22

All Science Journal Classification (ASJC) codes

Modelling and Simulation
Artificial Intelligence
Control and Optimization

Access to Document

10.1109/URAI.2016.7734067

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Cite this

Kassani, P. H., Hyun, J., & Kim, E. (2016). Application of soft Histogram of Oriented Gradient on traffic sign detection. In 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016 (pp. 388-392). [7734067] (2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/URAI.2016.7734067

Kassani, Peyman Hosseinzadeh ; Hyun, Junhyuk ; Kim, Euntai. / Application of soft Histogram of Oriented Gradient on traffic sign detection. 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 388-392 (2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016).

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title = "Application of soft Histogram of Oriented Gradient on traffic sign detection",

abstract = "The proposal of this study is introducing a new feature, called soft Histogram of Oriented Gradients (SHOG). This feature is designed for traffic sign detection. SHOG differs from traditional (hard) HOG in terms of symmetry information and cell of histogram positions. Unlike hard HOG, SHOG changes the positions of cells to a randomized selection of cells following by symmetry shapes of the traffic sign images. SHOG is implemented on the famous German traffic sign detection benchmark (GTSDB) dataset. Comparing to the conventional HOG feature experimented on GTSDB, SHOG could show better performance while uses smaller feature size.",

author = "Kassani, {Peyman Hosseinzadeh} and Junhyuk Hyun and Euntai Kim",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016 ; Conference date: 19-08-2016 Through 22-08-2016",

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Kassani, PH, Hyun, J & Kim, E 2016, Application of soft Histogram of Oriented Gradient on traffic sign detection. in 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016., 7734067, 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016, Institute of Electrical and Electronics Engineers Inc., pp. 388-392, 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016, Xian, China, 16/8/19. https://doi.org/10.1109/URAI.2016.7734067

Application of soft Histogram of Oriented Gradient on traffic sign detection. / Kassani, Peyman Hosseinzadeh; Hyun, Junhyuk; Kim, Euntai.

2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 388-392 7734067 (2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Kassani PH, Hyun J, Kim E. Application of soft Histogram of Oriented Gradient on traffic sign detection. In 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 388-392. 7734067. (2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2016). https://doi.org/10.1109/URAI.2016.7734067