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Reconstruction of 3D rigid body motion in a virtual environment from a 2D image sequence

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.

Identiferoai:union.ndltd.org:TEXASAandM/oai:repository.tamu.edu:1969.1/469
Date30 September 2004
CreatorsDasgupta, Sumantra
ContributorsDatta, Aniruddha, Banerjee, Amarnath, Halverson, Don R., Bhattacharyya, S. P.
PublisherTexas A&M University
Source SetsTexas A and M University
Languageen_US
Detected LanguageEnglish
TypeElectronic Thesis, text
Format858842 bytes, 63636 bytes, electronic, application/pdf, text/plain, born digital

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