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3D image analysis for pedestrian detection

Kelly, Philip and Cooke, Eddie and 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.

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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.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
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)
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, SFI 03/IN.3/I361
ID Code:381
Deposited On:31 Mar 2008 by DORAS Administrator. Last Modified 01 Feb 2017 13:57

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