Self-aware and self-expressive camera networks

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Abstract

Smart cameras perform on-board image analysis, adapt their algorithms to changes in their environment, and collaborate with other networked cameras to analyze the dynamic behavior of objects. A proposed computational framework adopts the concepts of self-awareness and self-expression to more efficiently manage the complex tradeoffs among performance, flexibility, resources, and reliability. The Web extra at http://youtu.be/NKe31-OKLz4 is a video demonstrating CamSim, a smart camera simulation tool, enables users to test self-adaptive and self-organizing smart-camera techniques without deploying a smart-camera network.

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Original languageEnglish
Pages (from-to)21-28
Number of pages8
JournalComputer
Volume48
Issue7
DOIs
StatePublished - Jul 2015

Bibliographic note

Funding: EU FP7 program agreement no. 257906 (www.epics-project.eu); and by the research initiative Mobile Vision, with funding from the Austrian Institute of Technology and the Austrian Federal Ministry of Science, Research and Economy HRSM program (BGBl. II Nr. 292/ 2012).

    Keywords

  • distributed systems, embedded systems, networking, real-time adaptability, self-awareness, self-expression, smart camera networks

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