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Conference Paper: Novel and fast feature based motion estimation algorithm through extraction of the background and moving objects

TitleNovel and fast feature based motion estimation algorithm through extraction of the background and moving objects
Authors
Yung, Nelson HCMok, WH
Issue Date1998
Citation
Proceedings - Ieee International Symposium On Circuits And Systems, 1998, v. 4, p. 138-141 How to Cite?
AbstractThis paper presents a novel and fast Feature Based Motion Estimation algorithm which is developed for typical video-phone scenario. In essence it combines the technique of object extraction with traditional block based motion estimation methods by estimating the background and extracting the moving object continuously in the first stage, then performs a block based motion estimation on the extracted. Simulation of the algorithm with full search as core shows that the estimation time can be reduced by as much as 50%, while the MSE and PSNR remain almost the same as the full search results.
Persistent Identifierhttp://hdl.handle.net/10722/158245
ISSN
0271-4310
2023 SCImago Journal Rankings: 0.307

 

DC FieldValueLanguage
dc.contributor.authorYung, Nelson HCen_US
dc.contributor.authorMok, WHen_US
dc.date.accessioned2012-08-08T08:58:42Z-
dc.date.available2012-08-08T08:58:42Z-
dc.date.issued1998en_US
dc.identifier.citationProceedings - Ieee International Symposium On Circuits And Systems, 1998, v. 4, p. 138-141en_US
dc.identifier.issn0271-4310en_US
dc.identifier.urihttp://hdl.handle.net/10722/158245-
dc.description.abstractThis paper presents a novel and fast Feature Based Motion Estimation algorithm which is developed for typical video-phone scenario. In essence it combines the technique of object extraction with traditional block based motion estimation methods by estimating the background and extracting the moving object continuously in the first stage, then performs a block based motion estimation on the extracted. Simulation of the algorithm with full search as core shows that the estimation time can be reduced by as much as 50%, while the MSE and PSNR remain almost the same as the full search results.en_US
dc.languageengen_US
dc.relation.ispartofProceedings - IEEE International Symposium on Circuits and Systemsen_US
dc.titleNovel and fast feature based motion estimation algorithm through extraction of the background and moving objectsen_US
dc.typeConference_Paperen_US
dc.identifier.emailYung, Nelson HC:nyung@eee.hku.hken_US
dc.identifier.authorityYung, Nelson HC=rp00226en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0031632151en_US
dc.identifier.volume4en_US
dc.identifier.spage138en_US
dc.identifier.epage141en_US
dc.identifier.scopusauthoridYung, Nelson HC=7003473369en_US
dc.identifier.scopusauthoridMok, WH=7005237936en_US
dc.identifier.issnl0271-4310-

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