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Template-based Search: A Tool for Scene Analysis
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
School of Computer Science & Communication, Royal Institute of Technology (KTH), Stockholm, Sweden.
2016 (English)In: 12th IEEE International Colloquium on Signal Processing & its Applications (CSPA): Proceeding, IEEE, 2016, 7515772Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a simple and yet effective technique for shape-based scene analysis, in which detection and/or tracking of specific objects or structures in the image is desirable. The idea is based on using predefined binary templates of the structures to be located in the image. The template is matched to contours in a given edge image to locate the designated entity. These templates are allowed to deform in order to deal with variations in the structure's shape and size. Deformation is achieved by dividing the template into segments. The dynamic programming search algorithm is used to accomplish the matching process, achieving very robust results in cluttered and noisy scenes in the applications presented.

Place, publisher, year, edition, pages
IEEE, 2016. 7515772
Keyword [en]
detection, dynamic programming, Saliency, Scene analysis, tracking
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:umu:diva-118583DOI: 10.1109/CSPA.2016.7515772ISBN: 978-146738780-4 (print)OAI: oai:DiVA.org:umu-118583DiVA: diva2:914134
Conference
12th IEEE Colloquium on Signal Processing and its Applications (CSPA 2016), Malacca, Malaysia, Mars 04-06, 2016
Available from: 2016-03-23 Created: 2016-03-23 Last updated: 2017-01-09Bibliographically approved

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Alaa, HalawaniHaibo, Li
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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