Attentive visual tracking
Roberts, Jonathan M. & Charnley, D. (1993) Attentive visual tracking. In Proceedings of the 4th British Machine Vision Conference (BMVC 1993), The British Machine Vision Association and Society for Pattern Recognition, Guildford, Surrey, The United Kingdom, pp. 459-468.
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 removing the need for a 3D motion model. The approach relaxes the restrictive static-world assumption conventionally made, and is therefore capable of tracking independently moving and deformable objects. The technique is novel in that feature detection and tracking is restricted to areas likely to contain meaningful image structure. Feature instantiation regions are defined from a combination of odometry informatin 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 indication that real-time operation is achievable.
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|Item Type:||Conference Paper|
|Keywords:||Robotic vision, Tracking, Detecting, 3D motion model|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 1993 Please consult the authors|
|Deposited On:||14 Apr 2015 00:05|
|Last Modified:||14 Apr 2015 00:05|
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