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.
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