Robust tracking of position and velocity with Kalman snakes

被引：182
作者：
Peterfreund, N [1 ]
机构：
[1] Oak Ridge Natl Lab, Ctr Engn Syst Adv Res, Oak Ridge, TN 37831 USA
来源：
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1999年 / 21卷 / 06期
关键词：
active contour; Kalman snakes; optical-flow robust tracking;
D O I：
10.1109/34.771328
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：564 / 569
页数：6
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