1. Shodhganga@INFLIBNET
  2. Andhra University
  3. Department of Computer Science & Systems Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/370114
Title: Human action recognition from realistic 2D and 3D videos using traditional and deep learning algorithms
Researcher: Rajendra Prasad, K.
Guide(s): Srinivasa Rao, P.
Keywords: Computer Science
Computer Science Artificial Intelligence
Engineering and Technology
Traditional and Deep Learning Algorithms--Recognition of Human action from realistic 2D and 3D videos.
University: Andhra University
Completed Date: 2019
Abstract: None
Pagination: x, 128p.
URI: http://hdl.handle.net/10603/370114
Appears in Departments:Department of Computer Science & Systems Engineering

Files in This Item:
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01_title.pdfAttached File213.84 kBAdobe PDFView/Open
02_dedication.pdf148.03 kBAdobe PDFView/Open
03_declaration.pdf144.26 kBAdobe PDFView/Open
04_certificate.pdf197.32 kBAdobe PDFView/Open
05_acknowledgement.pdf86.31 kBAdobe PDFView/Open
06_contents.pdf71.04 kBAdobe PDFView/Open
07_abstract.pdf132.51 kBAdobe PDFView/Open
08_list of figures.pdf154.53 kBAdobe PDFView/Open
09_list of tables.pdf134.61 kBAdobe PDFView/Open
10_list of acronyms.pdf136.86 kBAdobe PDFView/Open
11_chapter 1.pdf315.35 kBAdobe PDFView/Open
12_chapter 2.pdf1.02 MBAdobe PDFView/Open
13_chapter 3.pdf909.32 kBAdobe PDFView/Open
14_chapter 4.pdf621.51 kBAdobe PDFView/Open
15_chapter 5.pdf1.45 MBAdobe PDFView/Open
16_chapter 6.pdf964.38 kBAdobe PDFView/Open
17_chapter 7.pdf156.65 kBAdobe PDFView/Open
18_references.pdf994.16 kBAdobe PDFView/Open
80_recommendation.pdf369.35 kBAdobe PDFView/Open
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