Paper
16 September 1994 Motion restoration: a method for object and global motion estimation
Author Affiliations +
Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185944
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jih-Shi Su, Hsueh-Ming Hang, and David W. Lin "Motion restoration: a method for object and global motion estimation", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185944
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Cited by 1 scholarly publication.
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KEYWORDS
Motion estimation

Zoom lenses

Cameras

Video

Image segmentation

Mathematical modeling

Video compression

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