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Proceedings Paper

Motion restoration: a method for object and global motion estimation
Author(s): Jih-Shi Su; Hsueh-Ming Hang; David W. Lin
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Paper Abstract

A new technique called motion restoration method for estimating the global motion due to zoom and pan of the camera is proposed. It is composed of three steps: (1) block-matching motion estimation, (2) object assignment, and (3) global motion restoration. In this method, each image is first divided into a number of blocks. Step (1) may employ any suitable block- matching motion estimation algorithm to produce a set of motion vectors which capture the compound effect of zoom, pan, and object movement. Step (2) groups the blocks which share common global motion characteristics into one object. Step (3) then extracts the global motion parameters (zoom and pan) corresponding to each object from the compound motion vectors of its constituent blocks. The extraction of global motion parameters is accomplished via singular value decomposition. Experimental results show that this new technique is efficient in reducing the entropy of the block motion vectors for both zooming and panning motions and may also be used for image segmentation.

Paper Details

Date Published: 16 September 1994
PDF: 12 pages
Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); doi: 10.1117/12.185944
Show Author Affiliations
Jih-Shi Su, National Chiao Tung Univ. (Taiwan)
Hsueh-Ming Hang, National Chiao Tung Univ. (Taiwan)
David W. Lin, Bell Communications Research (Taiwan)


Published in SPIE Proceedings Vol. 2308:
Visual Communications and Image Processing '94
Aggelos K. Katsaggelos, Editor(s)

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