1. Shodhganga@INFLIBNET
  2. Quantum University, Roorkee
  3. Computer Science and Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/604232
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DC FieldValueLanguage
dc.date.accessioned2024-12-03T04:49:48Z-
dc.date.available2024-12-03T04:49:48Z-
dc.identifier.urihttp://hdl.handle.net/10603/604232-
dc.description.abstractAvailable-
dc.languageEnglish-
dc.rightsuniversity-
dc.titleAn efficient framework for real time video analysis in dense environment for surveillance system-
dc.creator.researcherTyagi, Himanshu-
dc.subject.keywordComputer Science-
dc.subject.keywordComputer Science Cybernetics-
dc.subject.keywordEngineering and Technology-
dc.subject.keywordSurveillance detection-
dc.contributor.guideKumar, Vivek and Kumar, Gaurav-
dc.publisher.placeRoorkee-
dc.publisher.universityQuantum University, Roorkee-
dc.publisher.institutionComputer Science and Engineering-
dc.date.completed2024-
dc.date.awarded2024-
dc.format.accompanyingmaterialDVD-
dc.type.degreePh.D.-
dc.source.inflibnetINFLIBNET-
Appears in Departments:Computer Science and Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File261.8 kBAdobe PDFView/Open
02_prelim pages.pdf1.14 MBAdobe PDFView/Open
03_contents.pdf434.64 kBAdobe PDFView/Open
04_abstract.pdf181.29 kBAdobe PDFView/Open
05_chapter 1.pdf919.14 kBAdobe PDFView/Open
06_chapter 2.pdf532.04 kBAdobe PDFView/Open
07_chapter 3.pdf833.86 kBAdobe PDFView/Open
08_chapter 4.pdf5.3 MBAdobe PDFView/Open
09_chapter 5.pdf954.77 kBAdobe PDFView/Open
10_chapter 6.pdf143.15 kBAdobe PDFView/Open
80_recommendation.pdf563.56 kBAdobe PDFView/Open
90_plagiarism.pdf30.76 kBAdobe PDFView/Open
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