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Measuring flow in digital video containing smoke and gas
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management.
2011 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Optical flow is widely used in image and video processing. This paper describes the definition of optical flow and some basic methods of estimating optical flow. There are three main optical flow methods described in this paper: Horn–Schunck method, Lucas–Kanade method and Anandan method. It will select the most appropriate method to measure the flow in videos containing smoke and gas by comparing those three methods with different criteria. The results are as below 1) Horn–Schunck method is good at measuring flow in infrared video and in horizontal direction, when 2) Anandan method is adept in estimating upward optical flow but not suitable for infrared video. 3) Lucas-Kanade method can be used not only in smoke videos, but also in methane gas videos, and it can detect flow in both horizontal and vertical direction.

Place, publisher, year, edition, pages
2011. , 23 p.
Keyword [en]
optical flow, video processing, smoke or gas detection
National Category
Computer Science
Identifiers
URN: urn:nbn:se:hig:diva-9528OAI: oai:DiVA.org:hig-9528DiVA: diva2:424496
Subject / course
Computer science
Educational program
Computer science
Uppsok
Technology
Supervisors
Examiners
Available from: 2011-06-23 Created: 2011-06-17 Last updated: 2011-06-23Bibliographically approved

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Measuring flow in digital video containing smoke and gas_Yunyi Huang(2169 kB)2201 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf