loading
Documents

Research.Publish.Connect.

Paper

Authors: Niels Ole Salscheider 1 ; Eike Rehder 2 and Martin Lauer 2

Affiliations: 1 FZI Forschungszentrum Informatik at Karlsruhe Institute of Technology (KIT), Germany ; 2 Karlsruhe Institute of Technology (KIT), Germany

ISBN: 978-989-758-222-6

Keyword(s): Pedestrian Detection, Regionlets, Perception.

Related Ontology Subjects/Areas/Topics: Applications ; Object Recognition ; Pattern Recognition ; Perception ; Robotics ; Software Engineering

Abstract: Human detection is an important task for many autonomous robots as well as automated driving systems. The Regionlets detector was one of the best-performing approaches for pedestrian detection on the KITTI dataset during 2015. We analysed the Regionlets detector and its performance. This paper discusses the improvements in accuracy that were achieved by the different ideas of the Regionlets detector. It also analyses what the boosting algorithm learns and how this relates to the expectations. We found that the random generation of regionlet configurations can be replaced by a regular grid of regionlets. Doing so reduces the dimensionality of the feature space drastically but does not decrease detection performance. This translates into a decrease in memory consumption and computing time during training.

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.162.159.33

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:
Salscheider N., Rehder E. and Lauer M. (2017). Analysis of Regionlets for Pedestrian Detection.In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-222-6, pages 26-32. DOI: 10.5220/0006094100260032

@conference{icpram17,
author={Niels Ole Salscheider and Eike Rehder and Martin Lauer},
title={Analysis of Regionlets for Pedestrian Detection},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2017},
pages={26-32},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006094100260032},
isbn={978-989-758-222-6},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Analysis of Regionlets for Pedestrian Detection
SN - 978-989-758-222-6
AU - Salscheider N.
AU - Rehder E.
AU - Lauer M.
PY - 2017
SP - 26
EP - 32
DO - 10.5220/0006094100260032

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.