Motion Field Estimation from Alternate Exposure Images

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SELLENT, Anita, Martin EISEMANN, Bastian GOLDLÜCKE, Daniel CREMERS, 2011. Motion Field Estimation from Alternate Exposure Images. In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(8), pp. 1577-1589. ISSN 0162-8828. eISSN 1939-3539. Available under: doi: 10.1109/TPAMI.2010.218

@article{Sellent2011Motio-29097, title={Motion Field Estimation from Alternate Exposure Images}, year={2011}, doi={10.1109/TPAMI.2010.218}, number={8}, volume={33}, issn={0162-8828}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, pages={1577--1589}, author={Sellent, Anita and Eisemann, Martin and Goldlücke, Bastian and Cremers, Daniel} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:isPartOf rdf:resource=""/> <dc:creator>Eisemann, Martin</dc:creator> <dc:creator>Goldlücke, Bastian</dc:creator> <dc:creator>Sellent, Anita</dc:creator> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:creator>Cremers, Daniel</dc:creator> <dc:contributor>Goldlücke, Bastian</dc:contributor> <dcterms:abstract xml:lang="eng">Traditional optical flow algorithms rely on consecutive short-exposed images. In this work, we make use of an additional long-exposed image for motion field estimation. Long-exposed images integrate motion information directly in the form of motion-blur. With this additional information, more robust and accurate motion fields can be estimated. In addition, the moment of occlusion can be determined. Considering the basic signal-theoretical problem in motion field estimation, we exploit the fact that long-exposed images integrate motion information to prevent temporal aliasing. A suitable image formation model relates the long-exposed image to preceding and succeeding short-exposed images in terms of dense 2D motion and per-pixel occlusion/disocclusion timings. Based on our image formation model, we describe a practical variational algorithm to estimate the motion field not only for visible image regions but also for regions getting occluded. Results for synthetic as well as real-world scenes demonstrate the validity of the approach.</dcterms:abstract> <dspace:isPartOfCollection rdf:resource=""/> <dc:date rdf:datatype="">2014-10-08T09:59:35Z</dc:date> <dcterms:issued>2011</dcterms:issued> <dcterms:title>Motion Field Estimation from Alternate Exposure Images</dcterms:title> <bibo:uri rdf:resource=""/> <dc:contributor>Eisemann, Martin</dc:contributor> <dc:contributor>Sellent, Anita</dc:contributor> <dc:contributor>Cremers, Daniel</dc:contributor> <dc:language>eng</dc:language> <dcterms:available rdf:datatype="">2014-10-08T09:59:35Z</dcterms:available> </rdf:Description> </rdf:RDF>

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