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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2008 IEEE Conference on Computer Vision and Pattern Recognition S. 1 - 8
Hauptverfasser:	Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, Mingliang Zhu, Jian Cheng
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2008
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!