Parallel Visual Tracking
Parallel Visual Tracking
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).
127--132
Roberts, J.M.
58762646-1ccb-4f99-b8c3-ca47871b8f32
Charnley, D.
201a3f46-6348-4188-a8af-9e4e08c5889a
September 1993
Roberts, J.M.
58762646-1ccb-4f99-b8c3-ca47871b8f32
Charnley, D.
201a3f46-6348-4188-a8af-9e4e08c5889a
Roberts, J.M. and Charnley, D.
(1993)
Parallel Visual Tracking.
1st Int. Workshop on Intelligent Autonomous Vehicles.
.
Record type:
Conference or Workshop Item
(Other)
Abstract
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).
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More information
Published date: September 1993
Additional Information:
Organisation: IFAC Address: Southampton, UK
Venue - Dates:
1st Int. Workshop on Intelligent Autonomous Vehicles, 1993-08-31
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 250368
URI: http://eprints.soton.ac.uk/id/eprint/250368
PURE UUID: 3e9f4ec6-221e-431e-937b-423ddb534afb
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Date deposited: 04 May 1999
Last modified: 10 Dec 2021 20:08
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Contributors
Author:
J.M. Roberts
Author:
D. Charnley
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