Type

Conference Proceedings

Authors

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

Subjects

Computer Science

Topics
information retrieval pedestrian detection detectors type image analysis generation real world

3D image analysis for pedestrian detection (2006)

Abstract A method for solving the dense disparity stereo correspondence problem is presented in this paper. This technique is designed specifically for pedestrian detection type applications. A new Ground Control Points (GCPs) scheme is introduced, using groundplane homography information to determine regions in which good GCPs are likely to occur. The method also introduces a dynamic disparity limit constraint to further improve GCP selection and dense disparity generation. The technique is applied to a real world pedestrian detection scenario with a background modeling system based on disparity and edges.
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: 450
 
2
Noel E. O'Connor
Dublin City University
Total Publications: 420