Pedestrian Detection using HOG-based Block Selection

Minsung Kang; Young Chul Lim

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

Pedestrian Detection using HOG-based Block Selection

In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: IVC&ITS, 783-787, 2014 , Vienna, Austria

Authors: Minsung Kang and Young Chul Lim

Affiliation: DGIST, Korea, Republic of

Keyword(s): Pedestrian Detection, Intelligent Vehicle, HOG, Camera, Computer Vision.

Abstract: Recently, pedestrian detection methods have been popularly used in the field of intelligent vehicles. In most previous works, the Histogram of Oriented Gradients (HOG) is used to extract features for pedestrian detection. However HOG is difficult to use in the real-time operating system of an intelligent vehicle. In this paper, we proposed a pedestrian detection method using a HOG-based block selection. First, we analyse the HOG block and select the parts of the block with a high hit rate. We then use only 20% of the total HOG blocks for the pedestrian feature. The proposed method is 5 times faster than methods using the entire feature, while performance remains almost the same.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 18.217.220.114

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Kang, M. and Lim, Y. (2014). Pedestrian Detection using HOG-based Block Selection. In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2014) - Volume 1: IVC&ITS; ISBN 978-989-758-040-6; ISSN 2184-2809, SciTePress, pages 783-787. DOI: 10.5220/0005147607830787

@conference{ivc&its14,
author={Minsung Kang. and Young Chul Lim.},
title={Pedestrian Detection using HOG-based Block Selection},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2014) - Volume 1: IVC&ITS},
year={2014},
pages={783-787},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005147607830787},
isbn={978-989-758-040-6},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2014) - Volume 1: IVC&ITS
TI - Pedestrian Detection using HOG-based Block Selection
SN - 978-989-758-040-6
IS - 2184-2809
AU - Kang, M.
AU - Lim, Y.
PY - 2014
SP - 783
EP - 787
DO - 10.5220/0005147607830787
PB - SciTePress