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3D Position Estimation of a Person of Interest in Multiple Video Sequences: Person of Interest Recognition
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
3D positions estimering av sökt person i multipla videosekvenser : Igenkänning av sökt person (Swedish)
Abstract [en]

Because of the increase in the number of security cameras, there is more video footage available than a human could efficiently process. In combination with the fact that computers are getting more efficient, it is getting more and more interesting to solve the problem of detecting and recognizing people automatically.

Therefore a method is proposed for estimating a 3D-path of a person of interest in multiple, non overlapping, monocular cameras. This project is a collaboration between two master theses. This thesis will focus on recognizing a person of interest from several possible candidates, as well as estimating the 3D-position of a person and providing a graphical user interface for the system. The recognition of the person of interest includes keeping track of said person frame by frame, and identifying said person in video sequences where the person of interest has not been seen before.

The final product is able to both detect and recognize people in video, as well as estimating their 3D-position relative to the camera. The product is modular and any part can be improved or changed completely, without changing the rest of the product. This results in a highly versatile product which can be tailored for any given situation.

Place, publisher, year, edition, pages
2013. , 82 p.
Keyword [en]
Computer Vision, Re-identification, Pedestrian detection, 3D-position estimation
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-97970ISRN: LiTH-ISY-EX--13/4718--SEOAI: oai:DiVA.org:liu-97970DiVA: diva2:650889
External cooperation
Statens kriminaltekniska laboratorium - SKL
Subject / course
Computer Vision Laboratory
Supervisors
Examiners
Available from: 2013-10-03 Created: 2013-09-23 Last updated: 2013-10-03Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Output format
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