Multiple motion estimation and segmentation in transparency
In this paper a mechanism for computing multiple motion models along with the corresponding regions of support for a sequence of images is presented. The mechanism is an indirect parametric motion estimation technique. Firstly, a robust technique based on the fundamental constraint equation of multi...
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| creator | Toro, J.G. Owens, F.J. Medina, R. |
| description | In this paper a mechanism for computing multiple motion models along with the corresponding regions of support for a sequence of images is presented. The mechanism is an indirect parametric motion estimation technique. Firstly, a robust technique based on the fundamental constraint equation of multiple optical flow is used to estimate a dense multiple vector field of the scene. Secondly, from the recovered low-level data, motion models and their corresponding regions of support are estimated through a variant of the expectation-maximisation (EM) algorithm. The proposed algorithm is shown to provide good motion estimates and regions of support. |
| doi_str_mv | 10.1109/ICASSP.2000.859246 |
| format | Conference Proceeding |
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The proposed algorithm is shown to provide good motion estimates and regions of support.</description><subject>Equations</subject><subject>Image analysis</subject><subject>Image motion analysis</subject><subject>Layout</subject><subject>Motion estimation</subject><subject>Nonlinear optics</subject><subject>Region 3</subject><subject>Robustness</subject><issn>1520-6149</issn><issn>2379-190X</issn><isbn>9780780362932</isbn><isbn>0780362934</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2000</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotT11LxDAQDH6A9bw_cE_9A62bpEm6-CSHnsKJwin4dqSXjUTaXmniw_17i3UZmGFghlnGVhxKzgFvn9f3u91bKQCgrBWKSp-xTEiDBUf4PGdLNDVMkFqgFBcs40pAoXmFV-w6xu8pV5uqztjdy0-bwtBS3h1TOPY5xRQ6-ydt7_JIXx31aTZCn6fR9nGwI_WH0w279LaNtPznBft4fHhfPxXb1800cFsEbkQqLKFU6ARZIo7KkKl0ZaFRDXgjneFQeyJAow6NM15PR0CNVxq989bJBVvNvYGI9sM47RtP-_lt-Qs730vK</recordid><startdate>2000</startdate><enddate>2000</enddate><creator>Toro, J.G.</creator><creator>Owens, F.J.</creator><creator>Medina, R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>2000</creationdate><title>Multiple motion estimation and segmentation in transparency</title><author>Toro, J.G. ; Owens, F.J. ; Medina, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i172t-ae9359d2eaee1957e7464a0b5b0f73d7108fee0975cbd7f6666e0ebf569fdfad3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Equations</topic><topic>Image analysis</topic><topic>Image motion analysis</topic><topic>Layout</topic><topic>Motion estimation</topic><topic>Nonlinear optics</topic><topic>Region 3</topic><topic>Robustness</topic><toplevel>online_resources</toplevel><creatorcontrib>Toro, J.G.</creatorcontrib><creatorcontrib>Owens, F.J.</creatorcontrib><creatorcontrib>Medina, R.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Toro, J.G.</au><au>Owens, F.J.</au><au>Medina, R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Multiple motion estimation and segmentation in transparency</atitle><btitle>2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100)</btitle><stitle>ICASSP</stitle><date>2000</date><risdate>2000</risdate><volume>4</volume><spage>2087</spage><epage>2090 vol.4</epage><pages>2087-2090 vol.4</pages><issn>1520-6149</issn><eissn>2379-190X</eissn><isbn>9780780362932</isbn><isbn>0780362934</isbn><abstract>In this paper a mechanism for computing multiple motion models along with the corresponding regions of support for a sequence of images is presented. The mechanism is an indirect parametric motion estimation technique. Firstly, a robust technique based on the fundamental constraint equation of multiple optical flow is used to estimate a dense multiple vector field of the scene. Secondly, from the recovered low-level data, motion models and their corresponding regions of support are estimated through a variant of the expectation-maximisation (EM) algorithm. The proposed algorithm is shown to provide good motion estimates and regions of support.</abstract><pub>IEEE</pub><doi>10.1109/ICASSP.2000.859246</doi></addata></record> |
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| ispartof | 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2000, Vol.4, p.2087-2090 vol.4 |
| issn | 1520-6149 2379-190X |
| language | eng |
| recordid | cdi_ieee_primary_859246 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Equations Image analysis Image motion analysis Layout Motion estimation Nonlinear optics Region 3 Robustness |
| title | Multiple motion estimation and segmentation in transparency |
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