Template-based search: A tool for scene analysis
2016 (English)In: Proceeding - 2016 IEEE 12th International Colloquium on Signal Processing and its Applications, CSPA 2016, IEEE conference proceedings, 2016, 1-6 p.Conference paper (Refereed)
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 conference proceedings, 2016. 1-6 p.
detection, dynamic programming, Saliency, Scene analysis, tracking, Error detection, Signal detection, Signal processing, Surface discharges, Matching process, Noisy scenes, Search Algorithms, Shape and size, Shape based, Template-based, Image matching
Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:kth:diva-197133DOI: 10.1109/CSPA.2016.7515772ScopusID: 2-s2.0-84983494524ISBN: 9781467387804OAI: oai:DiVA.org:kth-197133DiVA: diva2:1056232
12th IEEE International Colloquium on Signal Processing and its Applications, CSPA 2016, 4 March 2016 through 6 March 2016
QC 201612142016-12-142016-11-302016-12-14Bibliographically approved