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Automatic Bootstrapping and Tracking of Object Contours / John Chiverton; Xianghua Xie; Majid Mirmehdi

IEEE Transactions on Image Processing, Volume: 21, Issue: 3, Pages: 1231 - 1245

Swansea University Author: Xianghua, Xie

Abstract

This work introduces a new fully automatic object tracking and segmentation framework. The framework consists of a motion based bootstrapping algorithm concurrent to a shape based active contour. The shape based active contour uses a finite shape memory that is automatically and continuously built f...

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Published in: IEEE Transactions on Image Processing
ISSN: 1057-7149
Published: USA IEEE Computer Society 2012
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa7783
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Abstract: This work introduces a new fully automatic object tracking and segmentation framework. The framework consists of a motion based bootstrapping algorithm concurrent to a shape based active contour. The shape based active contour uses a finite shape memory that is automatically and continuously built from both the bootstrap process and the active contour object tracker. A scheme is proposed to ensure the finite shape memory is continuously updated but forgets unnecessary information. Two new ways of automatically extracting shape information from image data given a region of interest are also proposed. Results demonstrate that the bootstrapping stage provides important motion and shape information to the object tracker.
College: College of Science
Issue: 3
Start Page: 1231
End Page: 1245