Motion restoration: a method for object and global motion estimation

Jih Shi Su*, Hsueh-Ming Hang, David W. Lin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages1870-1881
Number of pages12
Editionp 3
ISBN (Print)081941638X
DOIs
StatePublished - 25 Sep 1994
EventVisual Communications and Image Processing '94 - Chicago, IL, USA
Duration: 25 Sep 199429 Sep 1994

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Numberp 3
Volume2308
ISSN (Print)0277-786X

Conference

ConferenceVisual Communications and Image Processing '94
CityChicago, IL, USA
Period25/09/9429/09/94

Keywords

  • motion restoration
  • object assignment
  • central projection
  • singular value decomposition

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