loading
Documents

Research.Publish.Connect.

Paper

Authors: Mohamed El Ansari 1 ; Redouan Lahmyed 1 and Alain Tremeau 2

Affiliations: 1 Faculty of Science and University of Ibn Zohr, Morocco ; 2 University Jean Monnet, France

ISBN: 978-989-758-290-5

Keyword(s): Pedestrian Detection, LIDAR Sensor, Visible Camera Sensor, Support Vector Machines (SVMs), Adaboost, Histogram of Oriented Gradients (HOG), Local Self-similarity (LSS).

Abstract: This paper presents a hybrid pedestrian detection system on the basis of 3D LIDAR data and visible images of the same scene. The proposed method consists of two main stages. In the first stage, the 3D LIDAR data are classified to obtain a set of clusters, which will be mapped into the visible image to get regions of interests (ROIs). The second stage classifies the ROIs (pedestrian/non pedestrian) using SVM as classifier and color based histogram of oriented gradients (HOG) together with the local self-similarity (LSS) as features. The proposed method has been tested on LIPD dataset and the results demonstrate its effectiveness.

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:
El Ansari M., Lahmyed R. and Tremeau A. (2018). A Hybrid Pedestrian Detection System based on Visible Images and LIDAR Data.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-290-5, pages 325-334. DOI: 10.5220/0006620803250334

@conference{visapp18,
author={Mohamed El Ansari and Redouan Lahmyed and Alain Tremeau},
title={A Hybrid Pedestrian Detection System based on Visible Images and LIDAR Data},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,},
year={2018},
pages={325-334},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006620803250334},
isbn={978-989-758-290-5},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,
TI - A Hybrid Pedestrian Detection System based on Visible Images and LIDAR Data
SN - 978-989-758-290-5
AU - El Ansari M.
AU - Lahmyed R.
AU - Tremeau A.
PY - 2018
SP - 325
EP - 334
DO - 10.5220/0006620803250334

Login or register to post comments.

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