Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/194857
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DC FieldValueLanguage
dc.coverage.spatialComputer science and engineering
dc.date.accessioned2018-03-06T11:45:39Z-
dc.date.available2018-03-06T11:45:39Z-
dc.identifier.urihttp://hdl.handle.net/10603/194857-
dc.description.abstractAbstract available
dc.format.extent239 p.
dc.languageEnglish
dc.relation-
dc.rightsuniversity
dc.titleOn the soft computing based approaches for object detection and tracking in videos
dc.title.alternative-
dc.creator.researcherManisha Kaushal
dc.subject.keywordApproache
dc.subject.keywordSoft
dc.subject.keywordTracking
dc.description.noten.d.
dc.contributor.guideSingh, Baljit
dc.publisher.placeKalurthala
dc.publisher.universityPunjab Technical University
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registeredn.d.
dc.date.completed2017
dc.date.awardedn.d.
dc.format.dimensions-
dc.format.accompanyingmaterialNone
dc.type.degreePh.D.
dc.source.inflibnetINFLIBNET
Appears in Departments:Department of Computer Science and Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File47.43 kBAdobe PDFView/Open
02_declaration.pdf83.2 kBAdobe PDFView/Open
03_abstract.pdf112.6 kBAdobe PDFView/Open
04_acknowledgement.pdf83.92 kBAdobe PDFView/Open
05_contents.pdf108.02 kBAdobe PDFView/Open
06_list of tables figures.pdf306.26 kBAdobe PDFView/Open
08_chapter 2.pdf1.16 MBAdobe PDFView/Open
09_chapter 3.pdf202.15 kBAdobe PDFView/Open
10_chapter 4.pdf2.28 MBAdobe PDFView/Open
11_chapter 5.pdf2.32 MBAdobe PDFView/Open
12_chapter 6.pdf184.91 kBAdobe PDFView/Open
13_chapter 7.pdf425.04 kBAdobe PDFView/Open
7_chapter 1.pdf1.09 MBAdobe PDFView/Open


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