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Pre-processing Architecture for IR-Visual Smart Camera Based on Post-Processing Constraints
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.ORCID iD: 0000-0003-1923-3843
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.ORCID iD: 0000-0002-3429-273X
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
2016 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In embedded vision systems, the efficiency of pre-processing architectures have a ripple effect on post-processing functions such as feature extraction, classification and recognition. In this work, we investigated a pre-processing architecture for smart camera system, integrating a thermal and vision sensors, by considering the constraints of post-processing. By utilizing the locality feature of the system, we performed pre-processing on the camera node by using FPGA and post-processing on the client device by using the microprocessor platform, NVIDIA Tegra. The study shows that for outdoor people surveillance applications with complex background and varying lighting conditions, the pre-processing architecture, which transmits thermal binary Region-of-Interest (ROI) images, offers better classification accuracy and smaller complexity as compared to alternative approaches.

Place, publisher, year, edition, pages
IEEE, 2016.
Keywords [en]
Wireless smart camera, Infrared, Thermal, Pre-processing, Architecture, Post-processing
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:miun:diva-27371Scopus ID: 2-s2.0-85073212718Local ID: STCOAI: oai:DiVA.org:miun-27371DiVA, id: diva2:918760
Conference
15th International Workshop on Cellular Nanoscale Networks and their Applications, Dresden, Germany, August 23-25, 2016
Funder
Knowledge FoundationAvailable from: 2016-04-11 Created: 2016-04-11 Last updated: 2020-10-14Bibliographically approved

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Imran, MuhammadWang, XuLawal, NajeemO'Nils, Mattias
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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
  • html
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  • asciidoc
  • rtf