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Masters Thesis

Indoor positioning and tracking based on OpenCV

The Project deals with indoor positioning and tracking. The purpose of this project is to apply a new indoor positioning system and tracking algorithm to the Unmanned Aerial Vehicle of the Department of Electrical and Computer Engineering at CSUN. The freeware, OpenCV, is used in this project to process the images taken from the unmanned aerial vehicle. This new indoor positioning system takes advantage of the features of the images. And a technology called "optical flow" is applied to the tracking algorithm.
Date
  • 9/22/2017
Resource Type
Creator
Advisor
Committee Member
Campus
Department
Publisher
Degree Level
  • Masters
Degree Name
  • M.S.
Subjects
Date Copyright
  • 2017
Date Submitted
  • 2017-08
Date Accessioned
  • 2017-09-22T15:51:58Z
Handle
["Made available in DSpace on 2017-09-22T15:51:58Z (GMT). No. of bitstreams: 1 Zhu-Cheng-thesis-2017.pdf: 510375 bytes, checksum: e1defd8ae1c0d7af916872bb6d9f4750 (MD5) Previous issue date: 2017-09-22", "Submitted by Graduate Studies (gradstudies@csun.edu) on 2017-09-22T15:51:58Z No. of bitstreams: 1 Zhu-Cheng-thesis-2017.pdf: 510375 bytes, checksum: e1defd8ae1c0d7af916872bb6d9f4750 (MD5)"]
Language
Statement of Responsibility
  • by Cheng Zhu
Notes
  • Includes bibliographical references (pages 22-22)
  • California State University, Northridge. Department of Electrical and Computer Engineering.
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