Title :
Robust tracking of position and velocity with Kalman snakes
Author :
Peterfreund, Natan
Author_Institution :
Center for Eng. Syst. Adv. Res., Oak Ridge Nat. Lab., TN, USA
fDate :
6/1/1999 12:00:00 AM
Abstract :
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
Keywords :
Kalman filters; filtering theory; image sequences; motion estimation; optical tracking; Kalman snakes; Kalman-filter based active contour model; combined spatio-velocity space; gradient-based image potential; image clutter robustness; image motion estimation; nonrigid objects; occlusion robustness; optical-flow based detection mechanism; robust position tracking; robust velocity tracking; Active contours; Biomedical optical imaging; Filtering; Image motion analysis; Kalman filters; Motion analysis; Optical filters; Position measurement; Robustness; Tracking;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
