Attentive Visual Tracking


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

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Description/Abstract

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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Address: Guildford
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science
ePrint ID: 250367
Date Deposited: 04 May 1999
Last Modified: 27 Mar 2014 19:51
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/250367

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