19 search results - page 2 / 4 » Visual Tracking by Adaptive Kalman Filtering and Mean Shift |
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
We present an online, recursive filtering technique to model linear dynamical systems that operate on the state space of symmetric positive definite matrices (tensors) that lie on...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
. Traditional camera pedestals are manually operated. Our long term goal is to construct a fully autonomous pedestal system which can respond to changes in a scene and mimicking t...
EUSFLAT
2009
13 years 3 months ago
2009
The aim of this paper is to propose a new Kalman Filter Recurrent Neural Network (KFRNN) topology and a recursive Levenberg-Marquardt (L-M) algorithm of its learning capable to est...
Publication
Existing visual tracking methods are challenged by object and background appearance variations, which often occur in a long duration tracking. In this paper, we propose a combined ...
VMV
2001
13 years 6 months ago
2001
We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, c...