A probabilistic shape filter for online contour tracking

Online contour-based tracking is considered through the estimation perspective. We propose a recursive dynamic filtering solution to the tracking problem. The state of the target is described by a pose state which represents the ensemble movement and a shape state which represents the local deformat...

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Bibliographic Details
Published in2009 16th IEEE International Conference on Image Processing (ICIP) pp. 433 - 436
Main Authors Ndiour, I.J., Arif, O., Teizer, J., Vela, P.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2009
Subjects
Background noise
Contour tracking
Deformable models
Filtering
Filters
Image sequences
Noise shaping
Online visual tracking
Principal component analysis
Recursive filtering
Shape measurement
State estimation
Target tracking
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Summary:Online contour-based tracking is considered through the estimation perspective. We propose a recursive dynamic filtering solution to the tracking problem. The state of the target is described by a pose state which represents the ensemble movement and a shape state which represents the local deformations. The shape state of the filter is described implicitly by a probability field with prediction and correction mechanisms expressed accordingly. The filtering procedure decouples the pose and shape estimation. Experiments conducted with objective measures of quality demonstrate improved tracking.
ISBN:9781424456536
1424456533
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2009.5414413