Institutions | About Us | Help | Gaeilge
rian logo

Go Back
3D image analysis for pedestrian detection
Kelly, Philip; Cooke, Eddie; O'Connor, Noel E.; Smeaton, Alan F.
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.
Keyword(s): Detectors; Information retrieval
Publication Date:
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Kelly, Philip, Cooke, Eddie, O'Connor, Noel E. and Smeaton, Alan F. (2006) 3D image analysis for pedestrian detection. In: WIAMIS 2006 - 7th International Workshop on Image Analysis for Multimedia Interactive Services, 19-21 April 2006, Incheon, Korea.
File Format(s): application/pdf
Related Link(s):
First Indexed: 2009-11-05 02:00:37 Last Updated: 2019-02-09 07:03:52