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...

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Vydané v:	2008 IEEE Conference on Computer Vision and Pattern Recognition s. 1 - 8
Hlavní autori:	Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, Mingliang Zhu, Jian Cheng
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2008
Predmet:	Cameras Covariance matrix Inference algorithms Kernel Lighting Particle filters Particle tracking Principal component analysis Robustness Statistics
ISBN:	9781424422425, 1424422426
ISSN:	1063-6919, 1063-6919
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