2002 Workshop on Digital
and Computational Video,
Nov. 14-15, pp. 151-158, Clearwater Beach, FL USA.
Designing an Embedded Video Processing Camera using a
16-bit Microprocessor for Surveillance System
Koichi Sato,
J. K. Aggarwal and
Brian L. Evans
Department of Electrical and Computer Engineering,
Engineering Science Building,
The University of Texas at Austin,
Austin, TX 78712-1084
koh@mail.utexas.edu -
aggarwal@ece.utexas.edu -
bevans@ece.utexas.edu
Paper
This paper describes the design and implementation of a hybrid
intelligent surveillance system consisting of an embedded system
and a personal computer (PC)-based system.
The embedded system performs some of the image processing tasks and
sends the processed data to a PC.
The PC tracks persons and recognizes two-person interactions by using
a grayscale side-view image sequence captured by a stationary camera.
Based on our previous research, we explored the optimum division of
tasks between the embedded system and the PC, simulated the embedded
system using dataflow models in Ptolemy, and prototyped the embedded
systems in real-time hardware and software using a 16-bit CISC
microprocessor.
This embedded system processes one frame image in 89 ms, which is
within three frame-cycle periods for a 30Hz video system.
In addition, the real-time embedded system prototype uses 5.7K bytes
of program memory, 854K bytes of internal data memory and 2M bytes
external DRAM.
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COPYRIGHT NOTICE: All the documents on this server
have been submitted by their authors to scholarly journals or conferences
as indicated, for the purpose of non-commercial dissemination of
scientific work.
The manuscripts are put on-line to facilitate this purpose.
These manuscripts are copyrighted by the authors or the journals in which
they were published.
You may copy a manuscript for scholarly, non-commercial purposes, such
as research or instruction, provided that you agree to respect these
copyrights.
Last Updated 08/10/03.