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3D image analysis for pedestrian detection |
Kelly, Philip; Cooke, Eddie; O'Connor, Noel E.; Smeaton, Alan F.
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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.
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Keyword(s):
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Detectors; Information retrieval |
Publication Date:
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2006 |
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Type:
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Other |
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Peer-Reviewed:
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Unknown |
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Language(s):
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English |
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Institution:
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Dublin City University |
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Citation(s):
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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. |
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File Format(s):
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application/pdf |
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Related Link(s):
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http://doras.dcu.ie/381/1/wiamis_2006.pdf |
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First Indexed:
2009-11-05 02:00:37 Last Updated:
2019-02-09 07:03:52 |
