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Proceedings Paper

Image stabilization for object tracking
Author(s): Jun Wang; Yunde Jia
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Paper Abstract

Image stabilization can be used in a variety of tasks in which dynamic image analysis is required, such as video steering, robot video monitoring, object tracking and wearable system. In this paper, we present a motion model to estimate the motion parameters for image stabilization by using feature points extracted from consecutive frames. Motion compensation is achieved by warping the current frame to a reference frame whose selection depends on different compensation methods. The experimental result shows that the stabilization rate is up to 25 frames per second with tracking window size 1 12x 128 pixels.

Paper Details

Date Published: 31 July 2002
PDF: 6 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477085
Show Author Affiliations
Jun Wang, Beijing Institute of Technology (China)
Yunde Jia, Beijing Institute of Technology (China)

Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics
Wei Sui, Editor(s)

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