Reconstruction of 3D rigid body motion in a virtual environment from a 2D image sequence
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This research presents a procedure for interactive segmentation and automatic tracking of moving objects in a video sequence. The user outlines the region of interest (ROI) in the initial frame; the procedure builds a refined mask of the dominant object within the ROI. The refined mask is used to model a spline template of the object to be tracked. The tracking algorithm then employs a motion model to track the template through a sequence of frames and gathers the 3D affine motion parameters of the object from each frame. The extracted template is compared with a previously stored library of 3D shapes to determine the closest 3D object. If the extracted template is completely new, it is used to model a new 3D object which is added to the library. To recreate the motion, the motion parameters are applied to the 3D object in a virtual environment. The procedure described here can be applied to industrial problems such as traffic management and material flow congestion analysis.
Subject3D Rigid Body Motion
Dasgupta, Sumantra (2004). Reconstruction of 3D rigid body motion in a virtual environment from a 2D image sequence. Master's thesis, Texas A&M University. Texas A&M University. Available electronically from