• DocumentCode
    342155
  • Title

    Very fast tracking and depth estimation by using focal plane compression sensors

  • Author

    Hamamoto, Takayuki ; Ohtsuka, Yasuhtiro ; Aizawu, K.

  • Author_Institution
    Dept. of Electr. Eng., Sci. Univ. of Tokyo, Japan
  • Volume
    4
  • fYear
    1999
  • fDate
    36342
  • Firstpage
    127
  • Abstract
    In order to enhance the performance of image sensing, we have been investigating a novel integration of sensing and compression on an image sensor. By the integration, the number of pixels in the image signal that has to be readout from the sensor can be significantly reduced, and the integration can consequently increase the pixel rate. In this paper, we describe a new compression sensor based on a column parallel architecture. We have implemented the prototype which has 128×128 pixels. It is verified that the processing circuits of the prototype can operate at more than 5000 frames/second. We also show the results of two experiments which are real-time reconstruction and real-time tracking and depth estimation of a moving object
  • Keywords
    CMOS image sensors; digital signal processing chips; focal planes; image coding; image processing equipment; image reconstruction; intelligent sensors; optical tracking; parallel architectures; real-time systems; 0.7 micron; 128 pixel; 16384 pixel; CMOS process; column parallel architecture; fast tracking; focal plane compression sensors; functions integration; image sensor; moving object; pixel rate; processing circuits; real-time depth estimation; real-time reconstruction; real-time tracking; Chromium; Circuits; Image coding; Image processing; Image sensors; Parallel architectures; Pixel; Power dissipation; Prototypes; Sensor phenomena and characterization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-5471-0
  • Type

    conf

  • DOI
    10.1109/ISCAS.1999.779958
  • Filename
    779958