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Motion Detection for Video Surveillance
Dalarna University, School of Technology and Business Studies, Computer Engineering.
2008 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
Abstract [en]

This thesis is related to the broad subject of automatic motion detection and analysis in video surveillance image sequence. Besides, proposing the new unique solution, some of the previous algorithms are evaluated, where some of the approaches are noticeably complementary sometimes. In real time surveillance, detecting and tracking multiple objects and monitoring their activities in both outdoor and indoor environment are challenging task for the video surveillance system. In presence of a good number of real time problems limits scope for this work since the beginning. The problems are namely, illumination changes, moving background and shadow detection. An improved background subtraction method has been followed by foreground segmentation, data evaluation, shadow detection in the scene and finally the motion detection method. The algorithm is applied on to a number of practical problems to observe whether it leads us to the expected solution. Several experiments are done under different challenging problem environment. Test result shows that under most of the problematic environment, the proposed algorithm shows the better quality result.

Place, publisher, year, edition, pages
Borlänge, 2008. , 73 p.
Keyword [en]
Motion Detection, Video Surveillance, Background Subtraction, Shadow Detection
Identifiers
URN: urn:nbn:se:du-3487OAI: oai:dalea.du.se:3487DiVA: diva2:518464
Uppsok
Technology
Supervisors
Available from: 2008-11-19 Created: 2008-11-19 Last updated: 2012-04-24Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • 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