Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/202202
Title: An efficient chaining graph segmentation models for human activity detection on real time noise video databases
Researcher: D. Ratna Kishore
Guide(s): Dr. M. Chandra Mohan and Prof. A. Ananda Rao
Keywords: Computer Science and Engineering
graphical segmentation models
probabilistic estimation
shape and the local homogeneity
video surveillance datasets
University: Jawaharlal Nehru Technological University, Anantapuram
Completed Date: 05-06-2017
Abstract: newline
Pagination: xviii, 149 P
URI: http://hdl.handle.net/10603/202202
Appears in Departments:Department of Computer Science and Engineering

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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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