Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/584093
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DC FieldValueLanguage
dc.coverage.spatialData Science and Computer Applications
dc.date.accessioned2024-08-20T10:48:59Z-
dc.date.available2024-08-20T10:48:59Z-
dc.identifier.urihttp://hdl.handle.net/10603/584093-
dc.description.abstractAvailable newline
dc.format.extent152p.
dc.languageEnglish
dc.relationNo. of References 224
dc.rightsuniversity
dc.titleMulti person tracking in video surveillance using deep learning
dc.title.alternative-
dc.creator.researcherBilakeri, Shavantrevva Sangappa
dc.subject.keywordDeep learning, Object detection, Data association, Multi-Object Tracking
dc.subject.keywordMulti-Camera Multi-Object tracking, Graph neural network
dc.subject.keywordMulti-feature fusion, Motion features, Appearance features
dc.description.notebibliography p. 128-152
dc.contributor.guideKotegar, Karunakar A
dc.publisher.placeManipal
dc.publisher.universityManipal Academy of Higher Education
dc.publisher.institutionManipal Institute of Technology
dc.date.registered2020
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions-
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Manipal Institute of Technology

Files in This Item:
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01_title.pdfAttached File195.07 kBAdobe PDFView/Open
02_prelim pages.pdf746.06 kBAdobe PDFView/Open
03_content.pdf68.26 kBAdobe PDFView/Open
04_abstract.pdf56.16 kBAdobe PDFView/Open
05_chapter 1.pdf864.28 kBAdobe PDFView/Open
06_chapter 2.pdf192.36 kBAdobe PDFView/Open
07_chapter 3.pdf1.9 MBAdobe PDFView/Open
08_chapter 4.pdf3.78 MBAdobe PDFView/Open
09_chapter 5.pdf3.37 MBAdobe PDFView/Open
10_annexures.pdf152.18 kBAdobe PDFView/Open
80_recommendation.pdf265.63 kBAdobe PDFView/Open


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