Type

Conference Proceedings

Authors

Alan F. Smeaton
Noel E. O'Connor
Eddie Cooke
Philip Kelly

Subjects

Computer Science

Topics
head world estimation stereo information retrieval image detectors pedestrian detection

Pedestrian detection using stereo and biometric information (2006)

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.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> Subject = Computer Science
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: Centre for Digital Video Processing (CDVP)
Ireland -> Dublin City University -> Subject = Physical Sciences: Detectors
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: Adaptive Information Cluster (AIC)
Ireland -> Dublin City University -> Subject = Physical Sciences
Ireland -> Dublin City University -> Subject = Computer Science: Information retrieval
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres

Full list of authors on original publication

Alan F. Smeaton, Noel E. O'Connor, Eddie Cooke, Philip Kelly

Experts in our system

1
Alan F. Smeaton
Dublin City University
Total Publications: 492
 
2
Noel E. O'Connor
Dublin City University
Total Publications: 474