Volumetric Model Body Outline Computation for an Object Tracking in a Video Stream

Ji Hun Park

doi:10.4028/www.scientific.net/AMM.479-480.897

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 479-480Volumetric Model Body Outline Computation for an...

Volumetric Model Body Outline Computation for an Object Tracking in a Video Stream

Abstract:

This paper presents a new outline contour generation method to track a rigid body in single video stream taken using a varying focal length and moving camera. We assume feature points and background eliminated images are provided, and we get different views of a tracked object when the object is stationary. Using different views of a tracked object, we volume-reconstruct a 3D model body after 3D scene analysis. For computing camera parameters and target object movement for a scene with a moving target object, we use fixed feature background points, and convert as a parameter optimization problem solving. Performance index for parameter optimization is minimizing feature point errors as well as outline contour difference between reconstructed 3D model and background eliminated tracked object. The proposed method is tested using an input image set.

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Periodical:

Applied Mechanics and Materials (Volumes 479-480)

Pages:

897-900

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.479-480.897

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Online since:

December 2013

Authors:

Ji Hun Park

Keywords:

Maximum Likelihood-Estimation (MLE), Moving Camera Calibration, Object Tracking, Quaternion

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