Visual tracking via incremental Log-Euclidean Riemannian subspace learning

Recently, a novel Log-Euclidean Riemannian metric is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means take a much simpler form than the widely used affine-invariant Riemannian metric. Based on the Log-Euclidean Riemannian metric...

Full description

Bibliographic Details

Published in:	2008 IEEE Conference on Computer Vision and Pattern Recognition pp. 1 - 8
Main Authors:	Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, Mingliang Zhu, Jian Cheng
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2008
Subjects:	Cameras Covariance matrix Inference algorithms Kernel Lighting Particle filters Particle tracking Principal component analysis Robustness Statistics
ISBN:	9781424422425, 1424422426
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!