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Attentive Visual Tracking

Record type: Conference or Workshop Item (Other)

The research reported here addresses the problem of detecting and tracking independently moving objects from a moving observer in real time, using corners as object tokens. Local image-plane constraints are employed to solve the correspondence problem. The approach relaxes the restrictive static-world assumption conventionally made, and is therefore capable of tracking independently moving and deformable objects. Tracking is performed without the use of any 3-dimensional motion model. The technique is novel in that, unlike traditional feature tracking algorithms where feature detection and tracking is carried out over the entire image-plane, here it is restricted to those areas most likely to contain meaningful image structure. Feature instantiation regions are defined from a combination of odometry information and a limited knowledge of the operating scenario. The algorithms developed have been tested on real image sequences taken from typical driving scenarios. Preliminary experiments on a parallel (Transputer) architecture indicate that real-time operation is achievable.

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Citation

Roberts, J.M. and Charnley, D. (1993) Attentive Visual Tracking At 4th British Machine Vision Conf.. , 459--468.

More information

Published date: September 1993
Additional Information: Address: Guildford
Venue - Dates: 4th British Machine Vision Conf., 1993-09-01
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 250367
URI: http://eprints.soton.ac.uk/id/eprint/250367
PURE UUID: a1442874-e71e-42ab-b19e-b751cc5d8ddf

Catalogue record

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

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Contributors

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

University divisions


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