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Robust tracking of position and velocity with Kalman snakes

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1 Author(s)
N. Peterfreund ; Center for Eng. Syst. Adv. Res., Oak Ridge Nat. Lab., TN, USA

A new Kalman-filter based active contour model is proposed for tracking of nonrigid objects in combined spatio-velocity space. The model employs measurements of gradient-based image potential and of optical-flow along the contour as system measurements. In order to improve robustness to image clutter and to occlusions an optical-flow based detection mechanism is proposed. The method detects and rejects spurious measurements which are not consistent with previous estimation of image motion

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:21 ,  Issue: 6 )