Massively parallel image processing system for intelligent transportation system applications

Author

Talib, Z.A. ; Love, N.S. ; Gealow, J.C. ; Hall, G. ; Masaki, I. ; Sodini, C.G.

Author_Institution

Microsystems Technol. Lab., MIT, Cambridge, MA, USA

fYear

1997

fDate

9-12 Nov 1997

Firstpage

367

Lastpage

372

Abstract

This paper presents a real-time image processing system for use in intelligent transportation systems. The system, run from a desktop computer, incorporates high-density pixel parallel (HDPP) processor chips into a programmable framework. By utilizing the system in a time-sharing fashion, multiple low-level image processing tasks can be implemented on the HDPP hardware. Examples of applications that have been implemented on the system and executed in real time include optical flow, template matching, and stereo vision

Keywords

automated highways; image processing; microcomputer applications; parallel architectures; real-time systems; time-sharing systems; HDPP hardware; desktop computer; high-density pixel parallel processor chips; intelligent transportation system applications; massively parallel image processing system; multiple low-level image processing tasks; optical flow; real-time image processing system; stereo vision; template matching; time-sharing system; Application software; Concurrent computing; Hardware; Image motion analysis; Image processing; Intelligent systems; Intelligent transportation systems; Real time systems; Stereo vision; Time sharing computer systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Transportation System, 1997. ITSC '97., IEEE Conference on

Conference_Location

Boston, MA

Print_ISBN

0-7803-4269-0

Type

conf

DOI

10.1109/ITSC.1997.660503

Filename

660503