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Three-Dimensional Deformable-Model-Based Localization and Recognition of Road Vehicles
2012
IEEE Transactions on Image Processing
We address the problem of model-based object recognition. Our aim is to localize and recognize road vehicles from monocular images or videos in calibrated traffic scenes. A 3-D deformable vehicle model with 12 shape parameters is set up as prior information, and its pose is determined by three parameters, which are its position on the ground plane and its orientation about the vertical axis under ground-plane constraints. An efficient local gradient-based method is proposed to evaluate the
doi:10.1109/tip.2011.2160954
pmid:21724513
fatcat:w56cjq5cujf2nok2xnb67xnrxy