Open Framework for Combined Pedestrian Detection

Floris De Smedt; Toon Goedemé

Research.Publish.Connect.

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

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

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

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

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

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

Name:
Country:
Subject:

Advanced Search Affiliations Search

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

Proceedings

Proceedings Search

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

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

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

Open Framework for Combined Pedestrian Detection

Topics: Object Detection and Localization

In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, 551-558, 2015 , Berlin, Germany

Authors: Floris De Smedt and Toon Goedemé

Affiliation: KU Leuven, Belgium

Keyword(s): Pedestrian Detection, Real-time, Framework.

Abstract: Pedestrian detection is a topic in computer vision of great interest for many applications. Due to that, a large amount of pedestrian detection techniques are presented in current literature, each one improving previous techniques. The improvement in accuracy in recent pedestrian detection, is commonly in combination with a higher computational requirement. Although, recently a technique was proposed to combine multiple detection algorithms to improve accuracy instead. Since the evaluation speed of this combination is dependent on the detection algorithm it uses, we provide an open framework that includes multiple pedestrian detection algorithms, and the technique to combine them. We show that our open implementation is superior on speed, accuracy and peak memory-use when compared to other publicly available implementations.

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 3.133.109.211

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:

De Smedt, F. and Goedemé, T. (2015). Open Framework for Combined Pedestrian Detection. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP; ISBN 978-989-758-090-1; ISSN 2184-4321, SciTePress, pages 551-558. DOI: 10.5220/0005359205510558

@conference{visapp15,
author={Floris {De Smedt}. and Toon Goedemé.},
title={Open Framework for Combined Pedestrian Detection},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP},
year={2015},
pages={551-558},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005359205510558},
isbn={978-989-758-090-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP
TI - Open Framework for Combined Pedestrian Detection
SN - 978-989-758-090-1
IS - 2184-4321
AU - De Smedt, F.
AU - Goedemé, T.
PY - 2015
SP - 551
EP - 558
DO - 10.5220/0005359205510558
PB - SciTePress