• DocumentCode
    870355
  • Title

    Energy-Aware High Resolution Image Acquisition via Heterogeneous Image Sensors

  • Author

    Kim, Hyungjin ; Rahimi, Mohammad ; Lee, Dong-U ; Estrin, Deborah ; Villasenor, John D.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of California, Los Angeles, CA
  • Volume
    2
  • Issue
    4
  • fYear
    2008
  • Firstpage
    526
  • Lastpage
    537
  • Abstract
    We present an energy-efficient high resolution image acquisition approach based on a two-tiered system comprising low-cost, low-power, non-actuated, extremely resource-constrained stereo image sensor platforms and more capable but more power-consumptive high resolution imaging platforms with actuation capability. The resource constrained platforms are used to compute 3D object location and subsequently to compute appropriate pan/tilt/zoom settings for the high resolution imaging platforms. The high resolution imaging platforms with actuation capability acquire high resolution images which can be utilized for various recognition purposes. We present a design methodology and system architecture, and evaluate latency and energy tradeoffs in the system. Experimental results show that use of the two-tiered network significantly reduces energy consumption of high resolution image acquisition versus a single-tiered network with minimum loss in detection capability.
  • Keywords
    fixed point arithmetic; image sensors; object detection; stereo image processing; 3D object location; distributed detection; fixed point arithmetic; high resolution imaging platforms; image acquisition; pan-tilt-zoom settings; single-tiered network; stereo image sensor; system architecture; two-tiered network; Computer architecture; Delay; Design methodology; Energy consumption; Energy efficiency; Energy resolution; High-resolution imaging; Image recognition; Image resolution; Image sensors; Distributed detection; finite wordlength effects; fixed point arithmetic; image sensors;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Signal Processing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1932-4553
  • Type

    jour

  • DOI
    10.1109/JSTSP.2008.925985
  • Filename
    4629873