Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/202202
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dc.coverage.spatialComputer Science and Engineering
dc.date.accessioned2018-04-25T10:20:21Z-
dc.date.available2018-04-25T10:20:21Z-
dc.identifier.urihttp://hdl.handle.net/10603/202202-
dc.description.abstractnewline
dc.format.extentxviii, 149 P
dc.languageEnglish
dc.relationNo. of References -184
dc.rightsuniversity
dc.titleAn efficient chaining graph segmentation models for human activity detection on real time noise video databases
dc.title.alternative
dc.creator.researcherD. Ratna Kishore
dc.subject.keywordComputer Science and Engineering
dc.subject.keywordgraphical segmentation models
dc.subject.keywordprobabilistic estimation
dc.subject.keywordshape and the local homogeneity
dc.subject.keywordvideo surveillance datasets
dc.description.noteSummaryandConclusion-130-132 , References 133-149
dc.contributor.guideDr. M. Chandra Mohan and Prof. A. Ananda Rao
dc.publisher.placeAnantapuram
dc.publisher.universityJawaharlal Nehru Technological University, Anantapuram
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered10-09-2011
dc.date.completed05-06-2017
dc.date.awarded22-01-2018
dc.format.dimensions---
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

Files in This Item:
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01_title.pdfAttached File153.71 kBAdobe PDFView/Open
02_certificate&declaration.pdf98.38 kBAdobe PDFView/Open
03_acknowldgement.pdf84.33 kBAdobe PDFView/Open
04_contents.pdf32.02 kBAdobe PDFView/Open
05_ preface.pdf139.9 kBAdobe PDFView/Open
06_ abstract.pdf95.05 kBAdobe PDFView/Open
07_list of tables and figures.pdf164.47 kBAdobe PDFView/Open
08_chapter 1.pdf332.84 kBAdobe PDFView/Open
09_chapter 2.pdf484.22 kBAdobe PDFView/Open
10_chapter 3.pdf557.97 kBAdobe PDFView/Open
11_chapter 4.pdf536.71 kBAdobe PDFView/Open
12_chapter 5.pdf762.74 kBAdobe PDFView/Open
13_chapter 6.pdf595.33 kBAdobe PDFView/Open
14_chapter 7.pdf87.16 kBAdobe PDFView/Open
15_references.pdf155.34 kBAdobe PDFView/Open


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