Intelligent Motion Detection Using Compressed Sensing

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dc.contributor.authorJohnston, Heather
dc.contributor.authorGupta, Siddharth
dc.contributor.authorLee, Grant
dc.contributor.authorPadmanabhan, Veena
dc.date.accessioned2022-05-03T14:32:47Z
dc.date.available2022-05-03T14:32:47Z
dc.date.issued2005-12-23
dc.description.abstractWe explore intelligent motion detecting using compressed sensing. Starting from the proof-of-concept that motion can be detected, we have created an algorithm to deterministically compute the speed of a known object under idealized conditions. We provide an explanation of its validity based on Parseval’s Theorem and propose an upper velocity resolution limit for our computation. A framework is provided for extending our work with support vector machines to automatically classify observed motion.
dc.description.noteThis work was created using the Connexions authoring platform. This platform will be retired as of the end of 2021.  This work has been migrated to PDF format for continuous access to the educational content, however any embedded links within the text to the legacy platform may no longer be accessible.
dc.digitization.specificationsContent was converted from legacy website (HTML) to accessible (tagged and OCRd) PDF format.
dc.format.extent48 pp
dc.identifier.citationJohnston, Heather, Gupta, Siddharth, Lee, Grant, et al.. "Intelligent Motion Detection Using Compressed Sensing." (2005) Rice University: <a href="https://hdl.handle.net/1911/112238">https://hdl.handle.net/1911/112238</a>.
dc.identifier.digitalcol10311-FINAL
dc.identifier.urihttps://hdl.handle.net/1911/112238
dc.language.isoeng
dc.publisherRice University
dc.rightsThis work is licensed under a Creative Commons Attribution License (BY 2.0)
dc.rights.urihttps://creativecommons.org/licenses/by/2.0/
dc.subjectScience and Technology
dc.subject.keywordcompressed sensing
dc.subject.keywordintelligent motion detection
dc.titleIntelligent Motion Detection Using Compressed Sensing
dc.type.dcmiText
dc.type.genreInstructional and educational works
dcterms.accessRightsfreely accessible, openly licensed text
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