The University of Southampton
University of Southampton Institutional Repository

Parallel Visual Tracking

Roberts, J.M. and Charnley, D. (1993) Parallel Visual Tracking At 1st Int. Workshop on Intelligent Autonomous Vehicles. , 127--132.

Record type: Conference or Workshop Item (Other)


The research reported here addresses the problem of tracking independently moving objects from a moving observer in real time, using corners as object tokens (Harris and Stephens, 1988). A novel algorithm is developed to solve the local correspondence/tracking problem. This algorithm relaxes the restrictive static-world assumption traditionally made, and is therefore capable of tracking independently moving objects. A parallel (Transputer) architecture is described on which to implement the algorithm. Implementation of the algorithm using T800 transputers has shown that near-linear speedups are achievable, and that real time operation is possible (half-video rate has been achieved using 30 processing elements).

Full text not available from this repository.

More information

Published date: September 1993
Additional Information: Organisation: IFAC Address: Southampton, UK
Venue - Dates: 1st Int. Workshop on Intelligent Autonomous Vehicles, 1993-09-01
Organisations: Electronics & Computer Science


Local EPrints ID: 250368
PURE UUID: 3e9f4ec6-221e-431e-937b-423ddb534afb

Catalogue record

Date deposited: 04 May 1999
Last modified: 18 Jul 2017 10:42

Export record


Author: J.M. Roberts
Author: D. Charnley

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.