Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Pedestrian detection using stereo and biometric information

Kelly, Philip, Cooke, Eddie, O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 and Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2006) Pedestrian detection using stereo and biometric information. In: ICIAR 2006 - International Conference on Image Analysis and Recognition, 18-20 September 2006, Povoa de Varzim, Portugal. ISBN 978-3-540-44894-5

Abstract
A method for pedestrian detection from real world outdoor scenes is presented in this paper. The technique uses disparity information, ground plane estimation and biometric information based on the golden ratio. It can detect pedestrians even in the presence of severe occlusion or a lack of reliable disparity data. It also makes reliable choices in ambiguous areas since the pedestrian regions are initiated using the disparity of head regions. These are usually highly textured and unoccluded, and therefore more reliable in a disparity image than homogeneous or occluded regions.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Additional Information:The original publication is available at www.springerlink.com
Subjects:Physical Sciences > Detectors
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Research Initiatives and Centres > Adaptive Information Cluster (AIC)
Published in: Image Analysis and Recognition. Lecture Notes in Computer Science 4142. Springer Berlin / Heidelberg. ISBN 978-3-540-44894-5
Publisher:Springer Berlin / Heidelberg
Official URL:http://dx.doi.org/10.1007/11867661_72
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:284
Deposited On:11 Mar 2008 by DORAS Administrator . Last Modified 08 Nov 2018 10:52
Documents

Full text available as:

[thumbnail of lncs_4142.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
2MB
Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record