By Topic

Real-time objects tracking by using smart image sensor and FPGA

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Hamamoto, T. ; Dept. of Electr. Eng., Tokyo University of Science, Japan ; Nagao, S. ; Aizawa, K.

We have been investigating the integration of sensing and compression on an image sensor. The compression sensor reduces the number of pixels in the image signal that have to be readout from the sensor. We present a real-time object tracking system using a compression sensor, which has 128×128 pixels, and FPGA. By using this system, several moving objects can be extracted and tracked independently at 1200 frames/second. We also describe real-time depth estimation by using binocular compression sensors. We show some results obtained by the system.

Published in:

Image Processing. 2002. Proceedings. 2002 International Conference on  (Volume:3 )

Date of Conference: