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CDC
2009
IEEE

Towards a local Kalman filter for visual tracking

13 years 4 months ago
Towards a local Kalman filter for visual tracking
This paper considers the task of closed curve filtering for visual tracking. Segmentation-based visual tracking strategies provide the closed curve measurements to filter. This paper discusses the derivation of a local, linear description for planar curve variation and curve uncertainty. It consists of a family of non-intersecting trajectories transverse to a given curve. Along one of the single-dimensional transverse trajectories, linear curve operations are feasible. Using the linear operation, a simple, locally optimal filtering procedure is derived. The filtering procedure is then used to define an observer for segmentation-based visual tracking. Experiments conducted validate the proposed method and resulting observer design.
Ibrahima J. Ndiour, Patricio A. Vela
Added 08 Nov 2010
Updated 08 Nov 2010
Type Conference
Year 2009
Where CDC
Authors Ibrahima J. Ndiour, Patricio A. Vela
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