Resource-efficient salient foreground detection for embedded smart cameras

Senem Velipasalar, Mauricio Casares

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The advances in VLSI technology and embedded computing have enabled the introduction of smart cameras, which are stand-alone units that combine sensing, processing and communication on a single embedded platform. With embedded smart cameras, it has now become viable to install many spatially-distributed cameras interconnected by wireless links. Yet, wireless and battery-powered, embedded smart camera networks introduce many additional challenges since they have very limited resources, such as energy, processing power, memory and bandwidth. Computer vision algorithms running on these camera boards should be lightweight and efficient. Considering the memory requirements of an algorithm and its portability to an embedded processor should be an integral part of the algorithm design in addition to the accuracy requirements.

Original languageEnglish (US)
Title of host publicationBackground Modeling and Foreground Detection for Video Surveillance
PublisherCRC Press
Pages22-1-22-24
ISBN (Electronic)9781482205381
ISBN (Print)9781482205374
DOIs
StatePublished - Jan 1 2014

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)
  • Mathematics(all)

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  • Cite this

    Velipasalar, S., & Casares, M. (2014). Resource-efficient salient foreground detection for embedded smart cameras. In Background Modeling and Foreground Detection for Video Surveillance (pp. 22-1-22-24). CRC Press. https://doi.org/10.1201/b17223